Title |
Identifying with all humanity predicts cooperative health behaviors and helpful responding during COVID-19
|
---|---|
Published in |
PLOS ONE, March 2021
|
DOI | 10.1371/journal.pone.0248234 |
Pubmed ID | |
Authors |
Rodolfo C. Barragan, Nigini Oliveira, Koosha Khalvati, Rechele Brooks, Katharina Reinecke, Rajesh P. N. Rao, Andrew N. Meltzoff |
X Demographics
The data shown below were collected from the profiles of 20 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 | 9 | 45% |
France | 1 | 5% |
Bahamas | 1 | 5% |
Germany | 1 | 5% |
Unknown | 8 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 65% |
Scientists | 7 | 35% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 18% |
Student > Ph. D. Student | 6 | 11% |
Student > Master | 6 | 11% |
Student > Doctoral Student | 4 | 7% |
Student > Bachelor | 3 | 5% |
Other | 11 | 20% |
Unknown | 15 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 12 | 22% |
Medicine and Dentistry | 7 | 13% |
Social Sciences | 6 | 11% |
Nursing and Health Professions | 3 | 5% |
Unspecified | 3 | 5% |
Other | 7 | 13% |
Unknown | 17 | 31% |