You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Therapeutic mechanism of Toujie Quwen granules in COVID-19 based on network pharmacology
|
|---|---|
| Published in |
BioData Mining, September 2020
|
| DOI | 10.1186/s13040-020-00225-8 |
| Pubmed ID | |
| Authors |
Ying Huang, Wen-jiang Zheng, Yong-shi Ni, Mian-sha Li, Jian-kun Chen, Xiao-hong Liu, Xing-hua Tan, Ji-qiang Li |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 17% |
| Researcher | 9 | 13% |
| Other | 5 | 7% |
| Student > Master | 5 | 7% |
| Lecturer | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 22 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 16% |
| Nursing and Health Professions | 8 | 12% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 9% |
| Neuroscience | 2 | 3% |
| Other | 14 | 20% |
| Unknown | 22 | 32% |