Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66054, first published .
Gender Differences in X (Formerly Twitter) Use Among Oncology Physicians at National Cancer Institute–Designated Cancer Centers: Cross-Sectional Study

Gender Differences in X (Formerly Twitter) Use Among Oncology Physicians at National Cancer Institute–Designated Cancer Centers: Cross-Sectional Study

Gender Differences in X (Formerly Twitter) Use Among Oncology Physicians at National Cancer Institute–Designated Cancer Centers: Cross-Sectional Study

Research Letter

1California University of Science and Medicine, Colton, CA, United States

2Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, United States

Corresponding Author:

Katelyn M Atkins, MD, PhD

Department of Radiation Oncology

Cedars-Sinai Medical Center

8700 Beverly Blvd

Los Angeles, CA, 90048

United States

Phone: 1 310 423 2178

Email: katelyn.atkins@cshs.org




In 2023-2024, women comprised 55% of matriculating US medical students but continue to be underrepresented in academic medicine [1,2]. This is particularly true in the workforce and leadership of oncology disciplines [2]. Social media platforms have gained popularity for professional development [3], though data characterizing gender parity in the social media oncology workforce are lacking and studied herein.


Overview

Twenty regionally distinct National Cancer Institute (NCI)–designated cancer center websites were accessed from December 2023 to July 2024 (Table 1) 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.

Table 1. National Cancer Institute–designated cancer centers included in this study.
Institution nameCityStatePhysicians (total; n=2908), n (%)Physicians on X (n=1068), n (%)
O’Neal Comprehensive Cancer CenterBirminghamAL45 (1.5)29 (2.7)
University of Arizona Cancer CenterTucsonAZ54 (1.9)23 (2.2)
Mayo Clinic Cancer CenterPhoenix, Jacksonville, and RochesterAZ, FL, and MN156 (5.4)70 (6.6)
Chao Family Comprehensive Cancer CenterOrangeCA126 (4.3)36 (3.4)
University of Colorado Cancer CenterAuroraCO147 (5.1)51 (4.8)
Yale Cancer CenterNew HavenCT353 (12.1)148 (13.9)
Sylvester Comprehensive Cancer CenterMiamiFL

149 (5.1)71 (6.6)
Winship Cancer InstituteAtlantaGA262 (9.0)106 (9.9)
University of Hawaii Cancer CenterHonoluluHI28 (1.0)4 (0.4)
Robert H. Lurie Comprehensive Cancer CenterChicagoIL

203 (7.0)86 (8.1)
Indiana University Melvin and Bren Simon Comprehensive Cancer CenterIndianapolisIN148 (5.1)56 (5.2)
Holden Comprehensive Cancer CenterIowa CityIA87 (3.0)24 (2.2)
The University of Kansas Cancer CenterKansas CityKS109 (3.7)29 (2.7)
Markey Cancer CenterLexingtonKY62 (2.1)17 (1.6)
Sidney Kimmel Comprehensive Cancer CenterBaltimoreMD314 (10.8)110 (10.3)
The Barbara Ann Karmanos Cancer InstituteDetroitMI81 (2.8)25 (2.3)
Alvin J. Siteman Cancer CenterSt. LouisMO315 (10.8)118 (11.0)
Dartmouth Cancer CenterLebanonNH153 (5.3)24 (2.2)
Rutgers Cancer Institute of New JerseyNew BrunswickNJ116 (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 (Multimedia Appendix 1).


In total, 2908 physicians’ profiles were analyzed, of which 37% (n=1068) were on X (Table 2). 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; Table 2). 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).

Table 2. Characteristics stratified by apparent gender on X.
VariableMen (n=654)Women (n=413)P valuea
Region.03

Northeast177 (27.1)145 (35.1)

Midwest259 (39.6)133 (32.2)

South143 (21.9)88 (21.3)

West75 (11.5)47 (11.4)
Faculty type<.001

None or unknown37 (5.7)18 (4.4)

Instructor or clinician0 (0)1 (0.2)

Assistant173 (26.5)172 (41.7)

Associate177 (27.1)117 (28.3)

Professor267 (40.8)105 (25.4)
Number of titles including chair, director, or codirector.006

0324 (49.5)247 (60.0)

1168 (25.7)89 (21.6)

294 (14.4)50 (12.1)

3+68 (10.4)26 (6.3)
Subspecialty<.001

Medical oncology231 (35.4)166 (40.2)

Radiation oncology53 (8.1)38 (9.2)

Gyn oncology12 (1.8)18 (4.4)

Surgical oncology44 (6.7)46 (11.1)

Other313 (47.9)145 (35.1)
Dual degree

PhD.05


No536 (82.0)357 (86.4)


Yes118 (18.0)56 (13.6)

MS.92


No575 (87.9)364 (88.1)


Yes79 (12.1)49 (11.9)

Master of public health.03


No620 (94.8)378 (91.5)


Yes34 (5.2)35 (8.5)

Any advanced dual degree.86


No442 (67.6)277 (67.1)


Yes212 (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 mention111 (17.1)68 (16.5)


Mention540 (83.0)344 (83.5)

Specialty.70


No mention128 (19.7)77 (18.7)


Mention523 (80.3)335 (81.3)

Being a parent.002


No mention583 (89.6)342 (83.0)


Mention68 (10.5)70 (17.0)

Spouse.25


No mention598 (91.9)370 (89.8)


Mention53 (8.1)42 (10.2)

Institution.98


No mention209 (32.1)132 (32.0)


Mention442 (67.9)280 (68.0)

Personal interests (eg, hobbies and activities).09


No mention565 (86.8)342 (83.0)


Mention86 (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).


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) [2]. 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 [3]. 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” [4]. 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 [5]. 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) [6] and report professional benefits from social media use, such as invited talks [7], consistent with studies reporting that women X users face challenges in popularity and influence at academic meetings despite comparable activity [8]. Thus, while social media offers a platform for connection and visibility [9], 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 [10]. 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.

Multimedia Appendix 1

STROBE guidelines.

PDF File (Adobe PDF File), 18 KB

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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.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.