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X Demographics
Mendeley readers
Title |
Of Cornopleezeepi and Party Poopers: A Brief History of Physicians in Comics
|
---|---|
Published in |
The AMA Journal of Ethic, February 2018
|
DOI | 10.1001/journalofethics.2018.20.2.mhst1-1802 |
Pubmed ID | |
Authors |
Carol Tilley |
Abstract |
The representations of physicians and medical practice found in comic strips, comic books, and graphic novels throughout the past century reflect broader representational trends in popular visual media. Drawing on examples including Winsor McCay's Dream of the Rarebit Fiend, the superhero comics character Stephen Strange/Doctor Strange, and contemporary graphic medicine, this article outlines the shifting models for depicting physicians and medical ethics in comics. It concludes that contemporary representations are often more realistic and nuanced, although gender and racial diversity along with diversity in medical specializations remains problematic. |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 42% |
United Kingdom | 1 | 4% |
Ireland | 1 | 4% |
France | 1 | 4% |
Comoros | 1 | 4% |
Canada | 1 | 4% |
Unknown | 10 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 54% |
Scientists | 8 | 31% |
Practitioners (doctors, other healthcare professionals) | 3 | 12% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 38% |
Librarian | 2 | 13% |
Researcher | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Unknown | 6 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Arts and Humanities | 2 | 13% |
Medicine and Dentistry | 2 | 13% |
Nursing and Health Professions | 1 | 6% |
Computer Science | 1 | 6% |
Neuroscience | 1 | 6% |
Other | 0 | 0% |
Unknown | 9 | 56% |