Gender differences in research collaborations and academic advancement among veterinary medical college faculty

Samantha L. Morello Department of Clinical Sciences, Center for Veterinary Business and Entrepreneurship, College of Veterinary Medicine, Cornell University, Ithaca NY

Search for other papers by Samantha L. Morello in
Current site
Google Scholar
PubMed
Close
 DVM, DACVS
,
Laura Nelson Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC

Search for other papers by Laura Nelson in
Current site
Google Scholar
PubMed
Close
 DVM, MS, DACVS
, and
Susan L. Fubini Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY

Search for other papers by Susan L. Fubini in
Current site
Google Scholar
PubMed
Close
 DVM, DACVS
Full access

Abstract

OBJECTIVE

To examine patterns of collaborative research behavior by gender among veterinary academic faculty to determine whether differences exist in how men and women access resources as a contributing factor to the advancement gap.

SAMPLE

710 faculty from 23 veterinary medical colleges.

PROCEDURES

An online questionnaire was sent through listservs at participating institutions and data were collected anonymously. Responses related to professional demographics, resources, collaboration, and elements of environmental culture were analyzed to identify associations among variables. Proportional odds logistic regression was utilized to examine the effect of gender on academic rank.

RESULTS

Male and female faculty reported participating in collaborations at equal rates. Men were more likely to engage in research collaborations with other men. These collaborations were more common than collaborations between women or between women and men. Men had 47% higher odds of more advanced academic rank compared with women and controlling for relevant factors. While there was no difference in the value of startup packages listed by men and women, women were more likely to report gender as a disadvantage in accessing resources and opportunities.

CLINICAL RELEVANCE

Research productivity is a main factor driving academic promotion. To improve gender equity in career advancement and to support scholarship among all faculty, the creation of institutional development programs focused on facilitating collaborations and resource sharing may be a strategic area for veterinary academic leaders to consider.

Abstract

OBJECTIVE

To examine patterns of collaborative research behavior by gender among veterinary academic faculty to determine whether differences exist in how men and women access resources as a contributing factor to the advancement gap.

SAMPLE

710 faculty from 23 veterinary medical colleges.

PROCEDURES

An online questionnaire was sent through listservs at participating institutions and data were collected anonymously. Responses related to professional demographics, resources, collaboration, and elements of environmental culture were analyzed to identify associations among variables. Proportional odds logistic regression was utilized to examine the effect of gender on academic rank.

RESULTS

Male and female faculty reported participating in collaborations at equal rates. Men were more likely to engage in research collaborations with other men. These collaborations were more common than collaborations between women or between women and men. Men had 47% higher odds of more advanced academic rank compared with women and controlling for relevant factors. While there was no difference in the value of startup packages listed by men and women, women were more likely to report gender as a disadvantage in accessing resources and opportunities.

CLINICAL RELEVANCE

Research productivity is a main factor driving academic promotion. To improve gender equity in career advancement and to support scholarship among all faculty, the creation of institutional development programs focused on facilitating collaborations and resource sharing may be a strategic area for veterinary academic leaders to consider.

Introduction

Academic advancement has been shown to progress unequally for men and women in science, technology, engineering, math, and medicine as well as in veterinary medicine—a profession that has been predominantly female in the US since 2009.15 Several hypotheses have been described to help explain these discrepancies. One proposed mechanism by Carnes et al6 anchors on the concept of bias, suggesting that gender-linked assumptions persist throughout organizations, fundamentally devaluing work performed by women and functionally constraining promotions. Alternatively, the “Matilda effect” proposed by Rossiter7 posits that differences in resource availability between men and women faculty create an unequal playing field, disadvantaging women’s career advancement. Carnes highlights the importance of research and Principal Investigator status as a pathway to leadership and influence, pointing to established evidence for gender differences throughout these areas.8,9 Considered together, these hypotheses generate a singular argument that academic research, and all the levers that affect it, may be an important component of the overall advancement gap.

Scholarly productivity is a powerful driver for advancement to associate and full professorship and toward leadership roles. This holds true for many nontenured clinical faculty—positions common in veterinary academia—as publication is encouraged and often required for promotional dossiers and for establishing a national reputation. Across various science, technology, engineering, math, and medicine fields, publication rates and publication impact (as measured by the h-index) of women faculty are lower compared with male faculty.10 Giuffrida et al11 showed that fewer senior authors on veterinary surgical publications are women, and Wang reports that women are comparatively underrepresented on journal editorial review boards.12 The h-index, a continuous measure of research productivity, is positively associated with increasing academic rank among surgical faculty in veterinary medicine.3 Given the relative predominance of men in associate and full professor roles,13,13 it follows that there is a greater overall volume of published and cited literature from senior male faculty. Individual success in research not only propels personal career development but is an indirect form of currency that can be used to influence the success and progress of others.

Academic research is increasingly a collaborative activity that engages the sharing of ideas, influence, experience, and resources to increase the quality and quantity of output. To a junior faculty member, collaboration with an established researcher can be one of the most important contributions to the establishment of their research program and pace of their career progression. Collaboration may provide access to resources including mentorship, financial support, access to equipment or personnel, and an increase in the credibility of an unknown investigator on grants and manuscripts. Despite its importance and in contrast to more structured processes to resource new scholars, collaborations occur largely through informal networking and social linkages. While networking is critical for career success,14 studies show that gender differences exist in the quality and size of networks, creating less powerful or effective grids for women than for men.1517 Gaining a better understanding of how these networks manifest differentially for men and women in veterinary medicine through research relationships may provide useful insight to understanding how the advancement gap develops.

The objective of this study was to examine patterns of collaborative research behavior among academic faculty in veterinary medical colleges to determine whether differences exist in how men and women, particularly in their early career, access resources that may ultimately contribute to their career progression. We utilized data collected from a national cross-sectional survey sample of the experiences of academic faculty in accredited veterinary colleges to compare academic rank and experiences in research collaborations between male and female faculty. We hypothesized that gender dependencies in research partnerships would exist and coincide with a gender-based advancement gap.

Materials and Methods

Study population

Deans or associate deans at 36 veterinary medical colleges with full accreditation status from the Council on Education and AVMA were contacted via email with a description of the study objectives and methods and invited to include their institution in the study. The complete survey (Supplementary Appendix) was available upon request for review, along with relevant approvals from the primary institution’s institutional review board. The survey was distributed to faculty at 23 participating institutions through internal listservs or a similar mechanism with the use of a recruitment email sent on behalf of the study team by administrative personnel at each institution. No participation incentives were used. The survey was open for a period of 1 month (February 20, 2018, to March 26, 2018), during which 3 separate prompts were sent.

Survey

The survey consisted of a 131-item questionnaire that was subject to logic flow. Questions were designed to evaluate objective and subjective dimensions of professional demographics, personal demographics, workload and responsibilities, resources, collaboration, mentorship and sponsorship, leadership, personal finance, and environmental culture. A full version of the survey including subject categories, questions with logic flow, and answer choices is available elsewhere (Supplementary Appendix). A preliminary version of the survey was distributed among 10 academic faculty members to solicit feedback on design, readability, and content. Comments were incorporated into the final version. The survey was hosted through an online platform (Qualtrics) using an anonymous link. The study was reviewed by the institutional review board of the University of Wisconsin-Madison and was considered exempt under category 45 CFR 46.101(b)(2).

Data analysis

Data related to professional demographics, resources, collaboration, and elements of environmental culture were evaluated here and contextualized using personal demographics; other outcomes were considered separately. Data were tested for normality with the Shapiro-Wilk test. Only complete records were used in analysis. Categorical data are reported by number and percentage. Ordinal and continuous data are reported by median and IQR for nonparametric data. Likert scale data were treated as ordinal measures; academic rank was assigned an ordinal rank based on level of promotion (+2 points) and track (tenured or tenure-track, +1 point; nontenured track, +0 points). Midpoint averaging was used to transform semiquantitative data (eg, age and startup package value) for analysis. Race and ethnicity were evaluated by a single survey item; for analysis, data were transformed into a binomial variable in which “white” = 1 and “not white” = 0. Statistical software was used for analysis.18,19 Inferential comparisons were made using χ2 tests for categorical data; Wilcoxon rank sum or Kruskal-Wallis tests were used to compare ordinal and continuous data as indicated. To reduce type I error rates within groups of questions in which multiple comparisons were performed on the same data (eg, directionality and gender-specific patterns of collaborative behaviors by promotion levels), Bonferroni adjustments were made on the basis of the number of comparisons; for these comparisons, P was set at < .025. For all other comparisons, P remained significant at < .05. Proportional odds logistic regression was utilized to examine the effect of gender on academic rank (MASS package; R Foundation for Statistical Computing). Multiple variable models were reduced via backward selection for significant covariates and evaluating the Akaike information criteria. Model assumptions were checked using the Brant test.

Results

Respondent demographics

A total of 23 accredited veterinary medical colleges participated, including 20 colleges in the US, 2 in Canada, and 1 in the Caribbean. The total number of faculty receiving the survey via listserv dissemination was unknown. The survey was started by 906 individuals, with 718 participants completing the survey (79% completion rate); 710 respondents provided information on their gender and are examined in the analyses presented here. Of those who responded, 39% self-identified as male (279/710) and 61% (431/710) as female; 0 respondents reported another gender identity. Male respondents were older than women (P < .0001), with a median age of 51 to 55 years (midpoint average, 51.7 years) compared with 41 to 45 years for women (midpoint average, 45.2 years). Similarly, male respondents had spent more years in academia (P < .0001), with a median of 15 years of experience (IQR, 7.25 to 27 years) compared to a median of 9 years of experience (IQR, 4 to 17 years) for women. When asked about race and ethnicity, 91.5% (648/708) of respondents identified as white, 3.1% (22/708) as Hispanic/LatinX, 2.1% (15/708) as Asian or Pacific Islander, 1.7% (12/708) as another race not listed, 1.1% (8/708) as Black or African American, and 0.4% (3/708) as American Indian or Native Alaskan. Due to the small numbers in each disaggregated group, data were not further analyzed by race or ethnicity.

Academic rank

The ordinal value, number, and proportion of respondents identifying as men and women by academic rank are shown (Table 1). Proportional odds logistic regression was used to evaluate the effect of gender on rank. Univariable analysis determined that the effect of being male resulted in 160% higher odds (OR, 2.60; 95% CI, 1.97 to 3.45; P < .0001) of being more advanced in academic rank. Multivariable regression was then used to consider the effect of gender, age, years of academic experience, race/ethnicity (being white vs all other racial or ethnic identities), and full- versus part-time employment. Significant factors were retained, with a final model that included gender and years of academic experience. Men had 47% higher odds (OR, 1.47; 95% CI, 1.09 to 1.97; P = .01) of being more advanced in academic rank compared with women after controlling for other factors. Each year of experience improved the odds of being more advanced in academic rank by 21% (OR, 1.21; 95% CI, 1.19 to 1.24; P < .0001). Stepwise selection improved Akaike information criteria from 1,978 to 2,031.

Table 1

Percentages and proportions of female (n = 408) and male (271) veterinary faculty respondents grouped by academic title or rank reported between February 20 and March 26, 2018, in an anonymous online survey conducted to gather information regarding patterns of collaborative research behavior by gender among academic faculty in veterinary medical colleges. Ordinal value assigned to each academic title based on promotion level and track is given. The percentage of respondents within each rank/track who were female (Rank % F) is calculated as the number of female respondents divided by the sum of female and male respondents.

Title Ordinal value Female Male Rank % F
Instructor/lecturer/scientist 1 5.9% (24/408) 2.2% (6/271) 80%
Senior instructor/lecturer/scientist 2 1.5% (6/408) 2.2% (6/271) 50%
Assistant professor (nontenured) 3 28.7% (117/408) 16.2% (44/271) 72.7%
Assistant professor (tenured track) 4 16.7% (68/408) 11.1% (30/271) 69.4%
Associate professor (nontenured) 5 14.2% (58/408) 10.7% (29/271) 66.7%
Associate professor (tenured) 6 13.7% (56/408) 15.5% (42/271) 57%
Professor (nontenured) 7 4.2% (17/408) 5.9% (16/271) 51%
Professor (tenured) 8 15.2% (62/408) 36.2% (98/271) 38.8%

Collaborative research behaviors

To assess collaborative behaviors, junior faculty were defined as unpromoted faculty, either at the assistant or instructor rank. Senior faculty were defined as promoted faculty, including associate and full professors. No differentiation was made by tenure versus nontenure status. Respondents were asked whether, during their time as a junior or unpromoted faculty, they received an offer from a senior faculty to collaborate on a project. Data were first analyzed using all respondents both currently and previously holding roles as junior faculty. There was no difference by gender in the proportion of men (68.7% [184/268]) or women (64.5% [269/411]) who had been invited to collaborate (P = .4). Men were asked to collaborate more frequently (median, 3 times; IQR, 2 to 6) compared with women (median, 3 times; IQR, 2 to 4; P = .0006). Gender discrepancies were observed in the patterns of collaboration among junior faculty, in which male respondents were asked more frequently by male senior faculty (median, 2 times; IQR, 1 to 3) compared with women (median, 1 time; IQR, 1 to 2; P < .0001). Overall, junior faculty were asked more frequently to collaborate by senior male faculty than senior female faculty (P < .0001). There was no difference in the number of times male and female junior faculty were asked to collaborate by senior female faculty (median of 0 times [IQR, 0 to 2] vs median of 1 time [IQR, 1 to 1.25]; P = .34).

Analyses were repeated among only those currently holding junior faculty positions. As before, there was no difference in the incidence of being asked to collaborate (63.8% [125/196] of women and 66.2% [51/77] of men; P = .81). Women were asked to collaborate less frequently overall than men (median of 2 times [IQR, 2 to 3] vs 3 times [IQR, 2 to 5]; P = .013). All previously identified patterns of gender dependencies remained significant at a level less than P ≤ .003. As before, there were no gender differences in how junior male and female faculty received requests for collaboration from female senior faculty (P = .38).

Respondents were asked whether, as a junior faculty member, they had asked for collaborative assistance and/or sharing of resources from a senior faculty member on a project they were undertaking. Responses were first analyzed among those both currently and previously holding junior faculty roles. A majority of both male and female respondents indicated that they had asked for collaborative assistance and/or sharing of resources from a senior faculty member, and this proportion was not significantly different (73.3% [193/263] of men vs 73.4% [298/406] of women; P = 1.0). Male junior faculty indicated that they had requested collaborations a greater number of times than female junior faculty (median of 3 times [IQR, 2 to 5] vs 2 times [IQR, 2 to 4], respectively; P = .0003). A greater number of requests were made to male senior faculty overall (median, 2 requests; IQR, 1 to 3) as compared with female senior faculty (median, 1; IQR, 0 to 2; P < .0001). Requests to male senior faculty were more frequently from male junior faculty than female (median of 2 times [IQR, 1 to 3] vs 1 time [IQR, 1 to 2]; P < .0001). There was no difference in the number of requests made to female senior faculty by men or women (median of 0 times [IQR, 0 to 2] vs 1 time [IQR, 0 to 2]; P = .38).

Data were again reanalyzed to assess responses only from current junior faculty. There was no difference in the proportions of current male and female junior faculty who requested collaborative assistance from senior faculty members (71% [54/76] of men and 70.3% [137/195] of women; P = 1]. Women asked less frequently than men (median of 2 times [IQR, 1 to 3.35] vs 3 times [IQR, 2 to 5]), which approached a level of significance (P = .073). All previously identified patterns of gender dependencies remained significant at a level less than P ≤ .02. As before, there were no differences in requests made to female senior faculty by male or female junior faculty (P = .54).

Respondents currently classified as senior faculty were asked whether they had asked an early-career (unpromoted) faculty member to collaborate on a project. Among senior faculty, there was no difference by gender in the rate of senior faculty offering collaborative assistance to junior faculty (79.5% [136/171] vs 79.4% [139/175]; P = 1.0). Male senior faculty reported offering assistance more times than female senior faculty overall (median of 4 times [IQR, 3 to 6] vs 3 times [IQR, 2 to 5]; P = .002). Senior faculty overall reported asking junior female faculty more times (median, 2 times; IQR, 1 to 3) than junior male faculty (median, 1 time; IQR, 0 to 3; P < .0001). There was no difference by gender among senior faculty in how often female junior faculty (P = .33) were asked to collaborate. However, male senior faculty reported asking junior male faculty to collaborate more times (median, 2 times; IQR, 0 to 3) than was reported by female senior faculty (median, 1; IQR, 0 to 2; P = .006). A schematic summarizing the collaborative relationships described above is provided (Figure 1).

Figure 1
Figure 1

Schematic depicting the collaborative relationships reported between male and female junior and senior veterinary faculty respondents in an online survey conducted between February 20 and March 26, 2018, to gather information regarding patterns of collaborative research behavior by gender among academic faculty in veterinary medical colleges. Arrows point in the direction of the request to collaborate; arrow size is associated with collaboration frequency. Numbers at the base of the arrow represent median number of requests made as reported by respondents currently and previously holding junior faculty roles (first or only number) and by respondents currently holding senior faculty roles (second number, italicized).

Citation: Journal of the American Veterinary Medical Association 261, 8; 10.2460/javma.23.02.0111

Objective and subjective experiences with resources

Respondents were asked if they received a startup offer at the time of hire into an assistant professorship role; there was no difference by gender in a positive response (64.5% [165/256] of men vs 67.4% [254/377] of women; P = .5). There was also no difference in whether the startup packages were deemed sufficient to conduct a research project, either in full or to generate pilot data (65% [105/161] of men vs 70.1% [175/249] of women; P = .33). Men and women reported equivalent values for their startup packages (median of midpoint average, $85,747 [IQR, $12,500 to $150,000] for men vs $80,627 [IQR, $12,500 to $150,000] for women; P = .91).

Finally, respondents were asked about their perceptions of access to ongoing resources or opportunities to succeed based on their personal identities. There was a marginally significant difference among male and female respondents in these perceptions (P = .048), with a greater proportion of women than men responding “Yes” that identity had affected access (36.4% [149/431] vs 26.2% [73/279]) and a smaller proportion responding “No” (51.7% [223/431] vs 60.2% [168/279]; Figure 2). Among those responding “Yes,” there was clear difference in what specific effect men and women felt gender had on access (P < .0001), with 87.6% (127/145) of women experiencing a disadvantage or significant disadvantage compared with 21.9% of men (16/73; Figure 3). Conversely, a high proportion of men felt their gender had provided them with some level of advantage during their career (46.6% [34/73] vs 4.1% [6/145] of women).

Figure 2
Figure 2

Percentage column chart representing how women (n = 431) and men (279) responded to the question, “Do you feel that your race or ethnicity, age, ability status, nationality, or gender has affected your access to resources and opportunities?”

Citation: Journal of the American Veterinary Medical Association 261, 8; 10.2460/javma.23.02.0111

Figure 3
Figure 3

Percentage column chart representing how women (n = 145) and men (73) who responded “Yes” to the question, “Do you feel that your race or ethnicity, age, ability status, nationality, or gender has affected your access to resources and opportunities?” rated the relative effects of their own gender.

Citation: Journal of the American Veterinary Medical Association 261, 8; 10.2460/javma.23.02.0111

Discussion

This was the first study, to the authors’ knowledge, evaluating gender dependencies in patterns and frequency of research collaboration among veterinary college faculty. Though high rates of collaboration were reported among both men and women, collaborative outreach was more frequent for men at both the junior and senior faculty levels. Gender concordance appeared to benefit men at the junior faculty level, resulting in greater numbers of collaborative opportunities offered and requested. Conversely, gender concordance was not advantageous for women, who received and requested more opportunities from senior male faculty. This trend appears unrelated to historic demographic imbalances that were previously weighted more heavily toward men, as the patterns generally persist in the current environment where demographics are more balanced in senior ranks and even skew female at the junior faculty levels. Male and female respondents were both provided with startup resources to begin academic research programs by their hiring institutions, yet there was a stark difference in how each perceived gender equity in their ability to access resources or opportunities during the course of their academic careers. Within the same population, given the same number of years of experience, a male faculty was almost 50% more likely to be at a higher stage of academic rank compared with a female faculty (based on promotion and track). In other words, gender was associated with a higher academic rank, although neither gender in and of itself nor the reported collaborative experiences should be interpreted as causal for greater academic advancement.

The data used in this cross-sectional study were derived from a large population of faculty at accredited veterinary medical colleges across North America and the Caribbean. A true response rate could not be evaluated given the lack of available data for the total number of faculty receiving invitations to participate. The proportion of female respondents in the current study was higher than the proportion of female faculty reported in the 2018 Comparative Data report from the American Association of Veterinary Medical Colleges (61% vs 48%),20 indicating the possibility for a gendered response bias. The proportion of respondents in nontenure track roles identifying as female (68% total) is similar to the proportion reported by the American Association of Veterinary Medical Colleges in clinical track positions in 2018 (62%),21 suggesting a comparable distribution of faculty members across different faculty tracks. No public data were available on the distribution of faculty at various promotional ranks either at the institutional or national level for comparison. Indeed, the information provided here may give a broad snapshot of the state of academic promotion in veterinary medical colleges.

Research collaborations can be complex, including a variable number of individuals and organizations. Collaboration, when analyzed in the literature, is often defined as coauthorship on a published manuscript.2224 Here, publications were not measured as an outcome of shared effort. Instead, collaboration was assessed as the incidence of dyadic relationships formed within the context of research. These data were therefore indirectly representative of personal networks in a research environment than outputs. Networks are increasingly being evaluated as influential factors in organizational structure and output, often using formalized techniques in network analysis (NA). Research in NA has included methods such as mapping organizational structures, employee email communications, teams or project groups, and observation of interpersonal behaviors in the workplace.24,25 Dimensions of NA have been shown to correlate with research productivity and collaborations among academic faculty.24,26,27 Network characteristics, such as levels of status and power, also vary between men and women within organizations, ultimately providing greater benefits to men.17,28 The data presented here provide preliminary evidence that formal and informal research relationships may be an important lens through which to understand gender-based differences in faculty experiences in veterinary academia and that network analysis may be an innovative platform for future work.

Collaborations were retrospectively reported by faculty members, with faculty of all ranks invited to recall experiences as junior faculty. Data were first analyzed in this manner to understand the collaborative environment in which all faculty considered in this study had experienced early career and how early collaborations could influence career trajectory. It is certain that changing faculty demographics could account for variation in academic environments for junior faculty today versus those beginning their careers 20 years ago. Historical overrepresentation of men in academia previously might have created a scenario that would favor collaborative relationships forming among men. However, repeat analysis among current junior faculty only, a subset predominantly populated by women, revealed no differences in the gender-specific patterns of collaborative behaviors. Gender demographics within veterinary academia have been shifting for many years due to increases in women’s enrollment in veterinary colleges and biological training programs. In our data set and others,13 even at the associate level men no longer outnumber women in veterinary academia. As such, our findings are likely to be less associated with the numbers or proportions of available men and women at various academic levels but rather may be influenced by other factors associated with gender.

Two important themes that emerged from our results were that (1) gender homophily produces more frequent collaborative efforts among men than among women and (2) senior male faculty serve as the strongest central node for collaborative efforts. The homophily effect has been shown in research collaborations in which, irrespective of the successes of individual authors in attracting collaborators, researchers tend to collaborate with those of the same gender.25,29 Here, among junior faculty, women participated equally in gender homophilic and heterophilic collaborations, whereas minimal heterophilic collaboration was recalled by men. Some researchers have shown that women engage collaboratively more frequently than men, though exceptions to this pattern occur with international collaborations or collaborations with industry.30,31 In general, researchers tend to collaborate repeatedly with the same coauthors, and the larger the coauthor network the more collaborations that are likely to occur.22,32 These tendencies ultimately favor the larger networks created by men and may potentiate the influence of highly productive or well-resourced individuals.

In this study, senior female faculty participated in the fewest research collaborations, despite many women respondents in associate and full professorship roles. Research productivity was not measured; as collaboration has sometimes been associated with productivity, it is possible similar outcomes could be extrapolated from these findings.27,33 It is beyond the scope of this paper to investigate the specific factors that may have influenced individuals to either perform research or seek out collaborations. However, consideration of either or both actions may be a basis for understanding the patterns observed in our data. Multiple possibilities exist for why fewer collaborations were observed between senior female faculty and junior colleagues compared with male senior faculty. Areas to consider or investigate further may include to what extent male or female faculty hold positions with limited or no research requirements, reduce research activity following promotion due to competing administrative responsibilities, have greater independency in research pursuits, receive fewer grants, pursue collaboration with nonfaculty (such as students or postgraduate trainees), have smaller collaborative networks, or to consider intrinsic motivation factors such as confidence, reward, or purpose, among others. Among women responding to this study holding associate or full professor roles, a greater number were in tenured than nontenured roles and therefore unlikely to be exempt from research. Interestingly, the subjective experience of women in this study, regarding their ability to access resources and opportunities, pointed toward experiential barriers in their careers that may have limited their research productivity or collaborative process. Further investigation into the needs and experiences of women researchers will be critical to supporting the most rapidly growing demographic in veterinary academia. And, as women increase in number and proportion in academia and in tenure-track roles, concentrating on the power of their networks may be an important lever to ensure that their academic success does not lag further.

Similar to previous reports,13,13 gender was associated with academic rank, in line with observations from medicine, basic sciences, mathematics, and business.5,3437 Discussions about lagging career progression in women relative to men have evaluated bias, productivity, commitment, family, negotiation, and mentorship among other factors to consider areas for intervention.38,39 Productivity differences are a possible driver of the advancement gap due to their clear implications for recognition and promotion.4042 We show here that dyadic research collaborations were consistently reported most frequently between men than between women or across genders. While not all collaborations lead to a successful publication, those with established senior faculty are likely to facilitate productivity. Additionally, the relationships built by such collaborations may also provide access to mentorship and sponsorship. Collaboration in this context may therefore contribute to the structural (resources) and cultural (relationships) environments in which individual academic careers are cultivated. While associations identified here are casual only, given the consistency of these patterns in a sample in which a gender-based advancement gap is detected, it is reasonable to consider that increased access to senior researchers can offer a professional advantage.

To better understand the experiences of faculty in accessing resources valuable for a successful academic career, we evaluated both objective and subjective domains of resource allocation. Objectively, men and women appeared to start from a level playing field, as equal proportions reported receiving startup offers of equivalent size, sufficient to begin research programs. This is an important finding given institutional initiatives aimed at reducing gender inequities surrounding pay and funding and the lack of transparency typically surrounding startup packages in academia due to the sensitive nature of negotiation and funding processes. However, subjectively women and men respondents felt disadvantaged and advantaged, respectively, in their ability to access resources, at significantly different rates. Experiences such as these are difficult to quantify, and harder still to substantiate, yet the repetition of these perceptions across many institutions suggests some common themes throughout academic environments. Women’s contributions to research are less-often acknowledged both systemically and through authorship as compared with men also participating in collaborative efforts.43 Additionally, papers authored by women are less frequently cited than those authored by men,44 a phenomenon which may be gender driven in itself.45 Mentorship is a complex phenomenon to document and understand, yet differences have been shown in the resources and prestige among those who mentor women versus men,46 indirectly affecting the access of the mentee. Consistent with our findings regarding gender disparities in research collaborations, access to interpersonal networks and collaborative patterns have been observed elsewhere in academia.32,47 These findings, taken together, produce elements of a possible framework for understanding how women researchers experience a different environment of support during their academic journey.

There are many bright spots in the data presented here. First, the newest generations of veterinary college academics were predominantly female, creating a strong pipeline for advancement. While the proportion of junior faculty entering tenure-track roles was smaller than historically among full professors, women appeared evenly split among the 2 options in the early ranks, similar to other reports.1,2 As such, the productivity and influence of women researchers is likely only to grow as young academics continue to build their dossiers. In line with this, we found that senior faculty as a whole reported offering more collaborative opportunities to junior female faculty as compared with junior male faculty. If reliable, the process of women growing their influence and centrality in the field of veterinary science is already underway.

Finally, based on the evidence collected here, collaboration is widespread, frequent, and continues throughout all stages of an academic career. To solidify this trend and promote opportunities for all faculty regardless of gender, race, or track, the authors suggest more structured institutional development programs to help connect early career faculty with more senior faculty representing a wide array of interests and disciplines to encourage collaboration and resource sharing. While the novelty of collaborative relationships was not examined, incentivizing network variation within and even across institutions will benefit individual faculty, schools, and scientific progress.

These data were collected in 2018 and therefore do not account for more recent demographic shifts or new veterinary medical colleges that have since been established. The retrospective and self-reported nature of the collaborative event data created the possibility for recall bias. The track of appointment held by each respondent was not evaluated due to the variability in research requirements for different tenure and nontenure roles across institutions and in requirements for promotion with tenure over time within certain institutions. The collaborative relationships described are also not limited to the sample (respondent) pool from which these data were generated. The differences in the number of requests from senior faculty described by junior faculty may not (and here, frequently did not; Figure 1) match the number of offers reported by senior faculty, on account of parties external to this sample population affecting the results. It was also possible that recall bias was driven by the length of time involved in remembering or by a social desirability bias in which respondents recalled generosity more frequently than it occurred.

The topic of demographics and identity in academia, science, and veterinary medicine continues to be relevant as organizations evolve in their thinking and commitment to diversity, equity, and inclusion. Even in such a large sample of veterinary college faculty, the number of people identifying a race or ethnicity other than white was too small to provide meaningful statistical analysis. However, observing the experiences of a single identity group (female) highlights the importance to organizations of understanding the experiences of all groups, even if those investigations cannot be performed with statistically powerful sampling. It is clear from these data that personal networks are powerful, and gaining deeper insight into how relationships are formed and utilized will be essential to support diversity through inclusion and equity and in general create environments where all have the resources to thrive. Cross-disciplinary collaboration to expand our knowledge about professional networks will be a valuable addition to both the science and management of our organizations.

Supplementary Materials

Supplementary materials are posted online at the journal website: avmajournals.avma.org

Acknowledgments

No third-party funding or support was received in connection with this study or in the writing or publication of this manuscript. The authors declare that there were no conflicts of interest.

References

  • 1.

    Morello SL, Colopy SA, Bruckner K, Buhr KA. Demographics, measures of professional achievement, and gender differences for diplomates of the American College of Veterinary Surgeons in 2015. J Am Vet Med Assoc. 2019;255(11):1270-1282. doi:10.2460/javma.255.11.1270

    • Search Google Scholar
    • Export Citation
  • 2.

    Morello SL, Colopy SA, Chun R, Buhr KA. Work, life, and the gender effect: perspectives of ACVIM diplomates in 2017. Part 1-specialty demographics and measures of professional achievement. J Vet Intern Med. 2020;34(5):1825-1836. doi:10.1111/jvim.15872

    • Search Google Scholar
    • Export Citation
  • 3.

    Giuffrida MA, Steffey MA, Balsa IM, Morello SL, Kapatkin AS. Gender differences in academic rank among faculty surgeons at US veterinary schools in 2019. Vet Surg. 2020;49(5):852-859. doi:10.1111/vsu.13440

    • Search Google Scholar
    • Export Citation
  • 4.

    Blumenthal DM, Bergmark RW, Raol N, Bohnen JD, Eloy JA, Gray ST. Sex differences in faculty rank among academic surgeons in the United States in 2014. Ann Surg. 2018;268(2):193-200. doi:10.1097/SLA.0000000000002662

    • Search Google Scholar
    • Export Citation
  • 5.

    Jena AB, Khullar D, Ho O, Olenski AR, Blumenthal DM. Sex differences in academic rank in US medical schools in 2014. JAMA. 2015;314(11):1149-1158. doi:10.1001/jama.2015.10680

    • Search Google Scholar
    • Export Citation
  • 6.

    Carnes M, Morrissey C, Geller SE. Women’s health and women’s leadership in academic medicine: hitting the same glass ceiling? J Womens Health (Larchmt). 2008;17(9):1453-1462. doi:10.1089/jwh.2007.0688

    • Search Google Scholar
    • Export Citation
  • 7.

    Rossiter MW. The Matthew Matilda Effect in science. Soc Stud Sci. 1993;23(2):325-341. doi:10.1177/030631293023002004

  • 8.

    Carnes M, Bland C. Viewpoint: a challenge to academic health centers and the National Institutes of Health to prevent unintended gender bias in the selection of clinical and translational science award leaders. Acad Med. 2007;82(2):202-206. doi:10.1097/ACM.0b013e31802d939f

    • Search Google Scholar
    • Export Citation
  • 9.

    Jagsi R, Guancial EA, Worobey CC, et al. The “gender gap” in authorship of academic medical literature-a 35-year perspective. N Engl J Med. 2006;355(3):281-287. doi:10.1056/NEJMsa053910

    • Search Google Scholar
    • Export Citation
  • 10.

    Duch J, Zeng XH, Sales-Pardo M, et al. The possible role of resource requirements and academic career-choice risk on gender differences in publication rate and impact. PLoS One. 2012;7(12):e51332. doi:10.1371/journal.pone.0051332

    • Search Google Scholar
    • Export Citation
  • 11.

    Giuffrida MA, Burton JH, Dechant JE, Winter A. Gender imbalance in authorship of veterinary literature: 1995 versus 2015. J Vet Med Educ. 2019;46(4):429-437. doi:10.3138/jvme.1017-141r

    • Search Google Scholar
    • Export Citation
  • 12.

    Wang A, Dunlop R, Allavena R, Palmieri C. Gender representation on journal editorial boards in the field of veterinary sciences. Res Vet Sci. 2022;148:21-26. doi:10.1016/j.rvsc.2022.05.001

    • Search Google Scholar
    • Export Citation
  • 13.

    Liu X, Dunlop R, Allavena R, Palmieri C. Women representation and gender equality in different academic levels in veterinary science. Vet Sci. 2021;8(8):159. doi:10.3390/vetsci8080159

    • Search Google Scholar
    • Export Citation
  • 14.

    Wolff HG, Moser K. Effects of networking on career success: a longitudinal study. J Appl Psychol. 2009;94(1):196-206. doi:10.1037/a0013350

    • Search Google Scholar
    • Export Citation
  • 15.

    Greguletz E, Diehl M-R, Kreutzer K. Why women build less effective networks than men: the role of structural exclusion and personal hesitation. Hum Relat. 2019;72(7):1234-1261. doi:10.1177/0018726718804303

    • Search Google Scholar
    • Export Citation
  • 16.

    Forret ML, Dougherty TW. Networking behaviors and career outcomes: differences for men and women? J Organ Behav. 2004;25(3):419-437. doi:10.1002/job.253

    • Search Google Scholar
    • Export Citation
  • 17.

    Rothstein MG, Burke RJ, Bristor JM. Structural characteristics and support benefits in the interpersonal networks of women and men in management. Int J Organ Anal. 2001;9(1):4-25. doi:10.1108/eb028926

    • Search Google Scholar
    • Export Citation
  • 18.

    R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; 2022. Accessed February 19, 2023. https://www.R-project.org/

    • Search Google Scholar
    • Export Citation
  • 19.

    RStudio: Integrated Development Environment for R. Posit Software, PBC; 2022. Accessed February 19, 2023. www.posit.co/

  • 20.

    Annual Data Report 2017-2018: A Report of the Association of American Veterinary Medical Colleges. Association of American Veterinary Medical Colleges; 2018.

    • Search Google Scholar
    • Export Citation
  • 21.

    Women Faculty by Percentage of Positions Held at US Colleges of Veterinary Medicine: Annual Data Report 2021-2022. American Association of Veterinary Medical Colleges; 2022. Accessed November 16, 2022. https://www.aavmc.org/wp-content/uploads/2022/08/2022-AAVMC-Annual-Data-Report-8.8Update.pdf

    • Search Google Scholar
    • Export Citation
  • 22.

    Zhang C, Bu Y, Ding Y, Xu J. Understanding scientific collaboration: homophily, transitivity, and preferential attachment. J Assoc Inf Sci Technol. 2018;69(1):72-86. doi:10.1002/asi.23916

    • Search Google Scholar
    • Export Citation
  • 23.

    Royal KD, Akers KS, Lybarger MA, Zakrajsek TD. Using social network analysis to evaluate research productivity and collaborations. J Fac Dev. 2014;28(1):49-58.

    • Search Google Scholar
    • Export Citation
  • 24.

    Understanding social networks. In: Organizational Behavior. University of Minnesota Libraries Publishing; 2010. doi:10.24926/8668.1501

  • 25.

    Broda MD, Granger K, Chow J, Ross E. Using social network analysis in applied psychological research: a tutorial. Psychol Methods. Published online December 16, 2021. doi:10.1037/met0000451

    • Search Google Scholar
    • Export Citation
  • 26.

    Aboelela SW, Merrill J, Carley KM, Larson EL. Social network analysis to evaluate an interdisciplinary research center. J Res Adm. 2007;38:61-75.

    • Search Google Scholar
    • Export Citation
  • 27.

    Ductor L, Fafchamps M, Goyal S, van der Leij MJ. Social networks and research output. Rev Econ Stat. 2014;96(5):936-948. doi:10.1162/REST_a_00430

    • Search Google Scholar
    • Export Citation
  • 28.

    Ibarra H. Personal networks of women and minorities in management: a conceptual framework. Acad Manage Rev. 1993;18(1):56-87. doi:10.2307/258823

    • Search Google Scholar
    • Export Citation
  • 29.

    Rothstein MG, Davey LM. Gender differences in network relationships in academia. Women Manag Rev. 1995;10(6):20-25. doi:10.1108/09649429510095999

    • Search Google Scholar
    • Export Citation
  • 30.

    Kwiek M, Roszka W. Gender disparities in international research collaboration: a study of 25,000 university professors. J Econ Surv. 2021;35(5):1344-1380. doi:10.1111/joes.12395

    • Search Google Scholar
    • Export Citation
  • 31.

    Bozeman B, Gaughan M. How do men and women differ in research collaborations? An analysis of the collaboration motives and strategies of academic researchers. Res Policy. 2011;40(10):1393-1402. doi:10.1016/j.respol.2011.07.002

    • Search Google Scholar
    • Export Citation
  • 32.

    Ductor L, Goyal S, Prummer A. Gender and collaboration. Rev Econ Stat. 2021;1-40. doi:10.1162/rest_a_01113

  • 33.

    Lee S, Bozeman B. The impact of research collaboration on scientific productivity. Soc Stud Sci. 2005;35(5):673-702. doi:10.1177/0306312705052359

    • Search Google Scholar
    • Export Citation
  • 34.

    Nonnemaker L. Women physicians in academic medicine: new insights from cohort studies. N Engl J Med. 2000;342(6):399-405. doi:10.1056/NEJM200002103420606

    • Search Google Scholar
    • Export Citation
  • 35.

    Murphy M, Callander JK, Dohan D, Grandis JR. Women’s experiences of promotion and tenure in academic medicine and potential implications for gender disparities in career advancement: a qualitative analysis. JAMA Netw Open. 2021;4(9):e2125843. doi:10.1001/jamanetworkopen.2021.25843

    • Search Google Scholar
    • Export Citation
  • 36.

    Hewlett SA, Luce CB. Off-ramps and on-ramps: keeping talented women on the road to success. Harv Bus Rev. 2005;83(3):43-46, 48, 50-54 passim.

    • Search Google Scholar
    • Export Citation
  • 37.

    Chesler NC, Chesler NA. Gender-informed mentoring strategies for women engineering scholars: on establishing a caring community. Res J Eng Educ. 2002;91(1):49-55. doi:10.1002/j.2168-9830.2002.tb00672.x

    • Search Google Scholar
    • Export Citation
  • 38.

    Wright AL, Schwindt LA, Bassford TL, et al. Gender differences in academic advancement: patterns, causes, and potential solutions in one US College of Medicine. Acad Med. 2003;78(5):500-508. doi:10.1097/00001888-200305000-00015

    • Search Google Scholar
    • Export Citation
  • 39.

    Zhuge Y, Kaufman J, Simeone DM, Chen H, Velazquez OC. Is there still a glass ceiling for women in academic surgery? Ann Surg. 2011;253(4):637-643. doi:10.1097/SLA.0b013e3182111120

    • Search Google Scholar
    • Export Citation
  • 40.

    Huang J, Gates AJ, Sinatra R, Barabási AL. Historical comparison of gender inequality in scientific careers across countries and disciplines. Proc Natl Acad Sci USA. 2020;117(9):4609-4616. doi:10.1073/pnas.1914221117

    • Search Google Scholar
    • Export Citation
  • 41.

    Bostwick VK, Weinberg BA. Nevertheless she persisted? Gender peer effects in doctoral STEM programs. J Labor Econ. 2022;40(2):397-436. doi:10.1086/714921

    • Search Google Scholar
    • Export Citation
  • 42.

    Mairesse J, Pezzoni M. Does gender affect scientific productivity? Rev Econ. 2015;66(1):65-113.

  • 43.

    Ross MB, Glennon BM, Murciano-Goroff R, Berkes EG, Weinberg BA, Lane JI. Women are credited less in science than men. Nature. 2022;608(7921):135-145. doi:10.1038/s41586-022-04966-w

    • Search Google Scholar
    • Export Citation
  • 44.

    Chatterjee P, Werner RM. Gender disparity in citations in high-impact journal articles. JAMA Netw Open. 2021;4(7):e2114509. doi:10.1001/jamanetworkopen.2021.14509

    • Search Google Scholar
    • Export Citation
  • 45.

    Teich EG, Kim JZ, Lynn CW, et al. Citation inequity and gendered citation practices in contemporary physics. Nat Phys. 2022;18(10):1161-1170. doi:10.1038/s41567-022-01770-1

    • Search Google Scholar
    • Export Citation
  • 46.

    Schwartz LP, Liénard JF, David SV. Impact of gender on the formation and outcome of formal mentoring relationships in the life sciences. PLoS Biol. 2022;20(9):e3001771. doi:10.1371/journal.pbio.3001771

    • Search Google Scholar
    • Export Citation
  • 47.

    Yamamoto J, Frachtenberg E. Gender differences in collaboration patterns in computer science. Publications. 2022;10(1):10. doi:10.3390/publications10010010

    • Search Google Scholar
    • Export Citation

Supplementary Materials

All Time Past Year Past 30 Days
Abstract Views 623 0 0
Full Text Views 6681 1198 79
PDF Downloads 710 258 6
Advertisement