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Twitter Demographics
Mendeley readers
Title |
Why Marginalization, Not Vulnerability, Can Best Identify People in Need of Special Medical and Nutrition Care
|
---|---|
Published in |
AMA Journal of Ethics, October 2018
|
DOI | 10.1001/amajethics.2018.941 |
Pubmed ID |
Twitter Demographics
The data shown below were collected from the profiles of 24 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 33% |
Australia | 3 | 13% |
Canada | 2 | 8% |
United Kingdom | 1 | 4% |
Unknown | 10 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 46% |
Scientists | 8 | 33% |
Practitioners (doctors, other healthcare professionals) | 5 | 21% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 18% |
Researcher | 6 | 16% |
Student > Ph. D. Student | 5 | 13% |
Student > Bachelor | 3 | 8% |
Professor > Associate Professor | 2 | 5% |
Other | 6 | 16% |
Unknown | 9 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 10 | 26% |
Nursing and Health Professions | 5 | 13% |
Medicine and Dentistry | 4 | 11% |
Unspecified | 2 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Other | 4 | 11% |
Unknown | 12 | 32% |