Research Letter
Abstract
This cross-sectional study evaluated gender parity in the oncology workforce on social media, demonstrating that women oncologists are enriched on X, with higher self-engagement, suggestive of a heightened motivation for professional X use.
J Med Internet Res 2025;27:e66054doi:10.2196/66054
Keywords
Introduction
In 2023-2024, women comprised 55% of matriculating US medical students but continue to be underrepresented in academic medicine [
, ]. This is particularly true in the workforce and leadership of oncology disciplines [ ]. Social media platforms have gained popularity for professional development [ ], though data characterizing gender parity in the social media oncology workforce are lacking and studied herein.Methods
Overview
Twenty regionally distinct National Cancer Institute (NCI)–designated cancer center websites were accessed from December 2023 to July 2024 (
) and physician demographic information was collected. Apparent gender (binary) was assigned by a single researcher (VT) using names, pronouns, and/or public profile images. Among physicians on X, publicly available data were manually collected. Physicians with missing numbers of “likes” (public reporting discontinued June 12, 2024) were excluded. Statistical analysis by X use and gender was performed using Wilcoxon rank sum and chi-square (or Fisher exact) tests for continuous and categorical variables, respectively. Analyses were performed using R (version 4.0.5; The R Foundation) with 2-sided tests with P≤.05.Institution name | City | State | Physicians (total; n=2908), n (%) | Physicians on X (n=1068), n (%) |
O’Neal Comprehensive Cancer Center | Birmingham | AL | 45 (1.5) | 29 (2.7) |
University of Arizona Cancer Center | Tucson | AZ | 54 (1.9) | 23 (2.2) |
Mayo Clinic Cancer Center | Phoenix, Jacksonville, and Rochester | AZ, FL, and MN | 156 (5.4) | 70 (6.6) |
Chao Family Comprehensive Cancer Center | Orange | CA | 126 (4.3) | 36 (3.4) |
University of Colorado Cancer Center | Aurora | CO | 147 (5.1) | 51 (4.8) |
Yale Cancer Center | New Haven | CT | 353 (12.1) | 148 (13.9) |
Sylvester Comprehensive Cancer Center | Miami | FL | 149 (5.1) | 71 (6.6) |
Winship Cancer Institute | Atlanta | GA | 262 (9.0) | 106 (9.9) |
University of Hawaii Cancer Center | Honolulu | HI | 28 (1.0) | 4 (0.4) |
Robert H. Lurie Comprehensive Cancer Center | Chicago | IL | 203 (7.0) | 86 (8.1) |
Indiana University Melvin and Bren Simon Comprehensive Cancer Center | Indianapolis | IN | 148 (5.1) | 56 (5.2) |
Holden Comprehensive Cancer Center | Iowa City | IA | 87 (3.0) | 24 (2.2) |
The University of Kansas Cancer Center | Kansas City | KS | 109 (3.7) | 29 (2.7) |
Markey Cancer Center | Lexington | KY | 62 (2.1) | 17 (1.6) |
Sidney Kimmel Comprehensive Cancer Center | Baltimore | MD | 314 (10.8) | 110 (10.3) |
The Barbara Ann Karmanos Cancer Institute | Detroit | MI | 81 (2.8) | 25 (2.3) |
Alvin J. Siteman Cancer Center | St. Louis | MO | 315 (10.8) | 118 (11.0) |
Dartmouth Cancer Center | Lebanon | NH | 153 (5.3) | 24 (2.2) |
Rutgers Cancer Institute of New Jersey | New Brunswick | NJ | 116 (4.0) | 41 (3.8) |
Ethical Considerations
This cross-sectional study used publicly available data and was therefore exempt from ethical approval per the Cedars-Sinai Medical Center institutional review board (STUDY00003292). STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) reporting guidelines were followed (
).Results
In total, 2908 physicians’ profiles were analyzed, of which 37% (n=1068) were on X (
). There was a greater proportion of women (vs men) physicians on X in the Northeast (35.1% vs 27.1%) but a smaller proportion in the Midwest (32.2% vs 39.6%; P=.03; ). X users accounted for a higher proportion of women (39% vs 35%; P=.05), were more likely to hold leadership titles (P<.001), and had an advanced dual degree (33% vs 25%; P<.001) than non–X users. Among those on X, women (vs men) were less likely to have “professor” status (25% vs 41%; P<.001) and leadership titles (P=.006) but more likely to have a master’s in public health (9% vs 5%; P=.03).Variable | Men (n=654) | Women (n=413) | P valuea | |||||||
Region | .03 | |||||||||
Northeast | 177 (27.1) | 145 (35.1) | ||||||||
Midwest | 259 (39.6) | 133 (32.2) | ||||||||
South | 143 (21.9) | 88 (21.3) | ||||||||
West | 75 (11.5) | 47 (11.4) | ||||||||
Faculty type | <.001 | |||||||||
None or unknown | 37 (5.7) | 18 (4.4) | ||||||||
Instructor or clinician | 0 (0) | 1 (0.2) | ||||||||
Assistant | 173 (26.5) | 172 (41.7) | ||||||||
Associate | 177 (27.1) | 117 (28.3) | ||||||||
Professor | 267 (40.8) | 105 (25.4) | ||||||||
Number of titles including chair, director, or codirector | .006 | |||||||||
0 | 324 (49.5) | 247 (60.0) | ||||||||
1 | 168 (25.7) | 89 (21.6) | ||||||||
2 | 94 (14.4) | 50 (12.1) | ||||||||
3+ | 68 (10.4) | 26 (6.3) | ||||||||
Subspecialty | <.001 | |||||||||
Medical oncology | 231 (35.4) | 166 (40.2) | ||||||||
Radiation oncology | 53 (8.1) | 38 (9.2) | ||||||||
Gyn oncology | 12 (1.8) | 18 (4.4) | ||||||||
Surgical oncology | 44 (6.7) | 46 (11.1) | ||||||||
Other | 313 (47.9) | 145 (35.1) | ||||||||
Dual degree | ||||||||||
PhD | .05 | |||||||||
No | 536 (82.0) | 357 (86.4) | ||||||||
Yes | 118 (18.0) | 56 (13.6) | ||||||||
MS | .92 | |||||||||
No | 575 (87.9) | 364 (88.1) | ||||||||
Yes | 79 (12.1) | 49 (11.9) | ||||||||
Master of public health | .03 | |||||||||
No | 620 (94.8) | 378 (91.5) | ||||||||
Yes | 34 (5.2) | 35 (8.5) | ||||||||
Any advanced dual degree | .86 | |||||||||
No | 442 (67.6) | 277 (67.1) | ||||||||
Yes | 212 (32.4) | 136 (32.9) | ||||||||
Length of training since graduation from medical school (years), median (IQR) | 7 (6-9) | 7 (6-8) | .02 | |||||||
X use variables unadjusted for time | ||||||||||
Number of followers, median (IQR) | 389.5 (146-1119) | 305 (112-863) | .002 | |||||||
Number of accounts followed by the physicians, median (IQR) | 223 (80-521) | 219 (82-478) | .78 | |||||||
Total number to tweets, median (IQR) | 168.5 (38-675) | 131 (22-514) | .02 | |||||||
Total number of media posts, median (IQR) | 15 (2-67) | 9 (2-47) | .09 | |||||||
Number of liked posts, median (IQR) | 352 (35.5-1683) | 441 (52-1697.5) | .23 | |||||||
X use variables adjusted for time | ||||||||||
Time on X (years), median (IQR) | 8.1 (5.3-11.6) | 6.7 (4.5-10.3) | <.001 | |||||||
Average number of followers per year on X, median (IQR) | 55.3 (19.4-159.5) | 48 (19.6-120.6) | .12 | |||||||
Average number of accounts followed per year on X, median (IQR) | 29.7 (10.7-71.4) | 34 (15.2-73.0) | .09 | |||||||
Average number to tweets per year on X, median (IQR) | 22.0 (5.2-91.3) | 21.4 (4.6-72.9) | .30 | |||||||
Average number of media posts per year on X, median (IQR) | 1.9 (0.3-8.6) | 1.6 (0.3-7.8) | .54 | |||||||
Average number of liked posts per year on X, median (IQR) | 45.9 (5.6-235.8) | 76.6 (9.7-260.4) | .02 | |||||||
Thematic content of X biography | ||||||||||
Job roles | .82 | |||||||||
No mention | 111 (17.1) | 68 (16.5) | ||||||||
Mention | 540 (83.0) | 344 (83.5) | ||||||||
Specialty | .70 | |||||||||
No mention | 128 (19.7) | 77 (18.7) | ||||||||
Mention | 523 (80.3) | 335 (81.3) | ||||||||
Being a parent | .002 | |||||||||
No mention | 583 (89.6) | 342 (83.0) | ||||||||
Mention | 68 (10.5) | 70 (17.0) | ||||||||
Spouse | .25 | |||||||||
No mention | 598 (91.9) | 370 (89.8) | ||||||||
Mention | 53 (8.1) | 42 (10.2) | ||||||||
Institution | .98 | |||||||||
No mention | 209 (32.1) | 132 (32.0) | ||||||||
Mention | 442 (67.9) | 280 (68.0) | ||||||||
Personal interests (eg, hobbies and activities) | .09 | |||||||||
No mention | 565 (86.8) | 342 (83.0) | ||||||||
Mention | 86 (13.2) | 70 (17.0) |
aP values were determined using the Wilcoxon rank sum test for continuous variables and chi-square or Fisher exact test for categorical variables, where appropriate.
Overall, women (vs men) had significantly fewer followers (mean 305 vs 390, P=.002) and tweets (mean 131 vs 169, P=.02). Adjusting for fewer years on X, women showed similar influence as men (mean 48 vs 55 followers per X-year, P=.12) but a higher rate of liking posts (mean 77 vs 46 per X-year, P=.02). Women (vs men) were more likely to mention being a parent in their biography (17% vs 10%, P=.002), but no differences were noted in other content variables (P>.05).
Discussion
Principal Results
In this cross-sectional study evaluating gender parity in the oncology workforce on social media, we observed women physicians on X being less likely to hold professor status and leadership titles. As seen on X, particularly in male-dominated fields of radiation and surgical oncology, the proportion of women was significantly higher than published workforce estimates (radiation oncology: 42% vs 31%, P=.04; surgical oncology: 51% vs 39%, P=.03) [
]. These data are suggestive of motivational and/or behavioral differences in X use by gender.Comparisons With Prior Work
We observed that women were more likely to mention being a parent, consistent with studies describing higher engagement in fostering support and community [
]. Further, women “liked” more posts, which perhaps parallels the expected levels of “friendliness” and tone softening in women’s professional communications, which has been associated with increased emotional labor. Indeed, content language analyses have demonstrated that women use exclamation points more frequently than men and as markers of “friendly interaction” [ ]. Behavioral psychology studies report that women have higher engagement in emotional labor practices, which may drain resources without equitable rewards, contributing toward the underrepresentation of women in leadership positions [ ]. These findings support continued evaluation of motivational and/or behavioral differences in professional social media use.Men physicians are more likely to hold “verified” X accounts (verification is thought to add a degree of validity) [
] and report professional benefits from social media use, such as invited talks [ ], consistent with studies reporting that women X users face challenges in popularity and influence at academic meetings despite comparable activity [ ]. Thus, while social media offers a platform for connection and visibility [ ], these findings underscore the need for ensuring equitable opportunities moving forward.Limitations
Institutional websites may be inaccurate, incomplete, and/or outdated. Gender classification may be inaccurate and impart classification bias. Publicly available X data are more limited than prior studies [
]. Verified status was not analyzed due to low occurrence (0.2% of accounts).Conclusions
Women oncologists are enriched on X, with higher self-engagement, suggestive of a heightened motivation for professional X use. Future longitudinal studies examining the role of emotional labor and network support in motives for social media use are warranted.
Acknowledgments
VT, SK, and KMA had full access to the data. MK reports receiving personal fees from Theragenics, Alessa, GTMedical, and Springer, outside the submitted work. KMA reports honoraria from OncLive, outside of the submitted work. The remaining authors have no disclosures. All authors have read and agreed to the published version of the manuscript.
Authors' Contributions
VT and KMA drafted the manuscript. VT, SK, MS, LB, MK, and KMA reviewed all analyses and edited the final manuscript.
Conflicts of Interest
None declared.
STROBE guidelines.
PDF File (Adobe PDF File), 18 KBReferences
- 2024 FACTS: Applicants and Matriculants Data. AAMC. URL: https://www.aamc.org/data-reports/students-residents/data/2023-facts-applicants-and-matriculants-data [accessed 2024-07-19]
- Chowdhary M, Chowdhary A, Royce TJ, Patel KR, Chhabra AM, Jain S, et al. Women's representation in leadership positions in academic medical oncology, radiation oncology, and surgical oncology programs. JAMA Netw Open. Mar 02, 2020;3(3):e200708. [FREE Full text] [CrossRef] [Medline]
- Ibrahim H, Anglade P, Abdel-Razig S. The use of social media by female physicians in an international setting: a mixed methods study of a group WhatsApp chat. Womens Health Rep (New Rochelle). Jan 01, 2020;1(1):60-64. [FREE Full text] [CrossRef] [Medline]
- Waseleski C. Gender and the use of exclamation points in computer-mediated communication: an analysis of exclamations posted to two electronic discussion lists. J Comp Mediated Comm. Jul 2006;11(4):1012-1024. [CrossRef]
- Vial AC, Cowgill CM. Heavier lies her crown: gendered patterns of leader emotional labor and their downstream effects. Front Psychol. Aug 29, 2022;13:849566. [FREE Full text] [CrossRef] [Medline]
- Rupert D, Shah K, Chen BY, O'Glasser AY, Schiml M, Jain S, et al. Sex and location differences in verification status of physician-held social media platform accounts. JAMA Netw Open. Aug 01, 2022;5(8):e2225671. [FREE Full text] [CrossRef] [Medline]
- Woitowich NC, Arora VM, Pendergrast T, Gottlieb M, Trueger NS, Jain S. Gender differences in physician use of social media for professional advancement. JAMA Netw Open. May 03, 2021;4(5):e219834. [FREE Full text] [CrossRef] [Medline]
- Berger T, Payan N, Fleury E, Davey A, Bryce-Atkinson A, Vasquez Osorio E, et al. Gender-related and geographic trends in interactions between radiotherapy professionals on Twitter. Phys Imaging Radiat Oncol. Oct 2022;24:129-135. [FREE Full text] [CrossRef] [Medline]
- Lewis JD, Fane KE, Ingraham AM, Khan A, Mills AM, Pitt SC, et al. Expanding opportunities for professional development: utilization of Twitter by early career women in academic medicine and science. JMIR Med Educ. Jul 23, 2018;4(2):e11140. [FREE Full text] [CrossRef] [Medline]
- Zhu JM, Pelullo AP, Hassan S, Siderowf L, Merchant RM, Werner RM. Gender differences in Twitter use and influence among health policy and health services researchers. JAMA Intern Med. Dec 01, 2019;179(12):1726-1729. [FREE Full text] [CrossRef] [Medline]
Abbreviations
NCI: National Cancer Institute |
STROBE: Strengthening the Reporting of Observational Studies in Epidemiology |
Edited by A Mavragani; submitted 02.09.24; peer-reviewed by V Sekhon, L Chinthala, Z Ehtesham, T Akindahunsi; comments to author 29.11.24; revised version received 28.12.24; accepted 11.02.25; published 11.03.25.
Copyright©Vivian Tieu, Sungjin Kim, Minji Seok, Leslie Ballas, Mitchell Kamrava, Katelyn M Atkins. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.03.2025.
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