| Title |
Traditional Chinese Medicine in Treatment of COVID-19 and Viral Disease: Efficacies and Clinical Evidence
|
|---|---|
| Published in |
International Journal of General Medicine, November 2022
|
| DOI | 10.2147/ijgm.s386375 |
| Pubmed ID | |
| Authors |
Xue Ding, Lei-Lei Fan, Shi-Xi Zhang, Xiu-Xia Ma, Peng-Fei Meng, Liang-Ping Li, Ming-Yan Huang, Jia-Le Guo, Peng-Zhan Zhong, Li-Ran Xu |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 20% |
| Switzerland | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 25% |
| Researcher | 2 | 17% |
| Student > Master | 1 | 8% |
| Unknown | 6 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Nursing and Health Professions | 1 | 8% |
| Physics and Astronomy | 1 | 8% |
| Social Sciences | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 6 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2023.
All research outputs
#7,455,053
of 25,656,290 outputs
Outputs from International Journal of General Medicine
#362
of 1,660 outputs
Outputs of similar age
#135,619
of 442,187 outputs
Outputs of similar age from International Journal of General Medicine
#7
of 47 outputs
Altmetric has tracked 25,656,290 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,660 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,187 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.