Title |
Coronavirus disease 2019 epidemic in impoverished area: Liangshan Yi autonomous prefecture as an example
|
---|---|
Published in |
Infectious Diseases of Poverty, August 2020
|
DOI | 10.1186/s40249-020-00706-2 |
Pubmed ID | |
Authors |
Ru-Jun Liao, Chun-Nong Ji-Ke, Tao Zhang, Qiang Liao, Ling Li, Tian-Yu Zhu, Shao-Yong Bian |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 99 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 14 | 14% |
Researcher | 11 | 11% |
Student > Ph. D. Student | 8 | 8% |
Student > Bachelor | 7 | 7% |
Student > Doctoral Student | 4 | 4% |
Other | 17 | 17% |
Unknown | 38 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 16% |
Nursing and Health Professions | 15 | 15% |
Psychology | 4 | 4% |
Social Sciences | 3 | 3% |
Environmental Science | 3 | 3% |
Other | 18 | 18% |
Unknown | 40 | 40% |