| Title |
Reflections on treatment of COVID-19 with traditional Chinese medicine
|
|---|---|
| Published in |
Chinese Medicine, September 2020
|
| DOI | 10.1186/s13020-020-00375-1 |
| Pubmed ID | |
| Authors |
Hua Luo, Yan Gao, Jian Zou, Siyuan Zhang, Hanbin Chen, Qiao Liu, Dechao Tan, Yan Han, Yonghua Zhao, Shengpeng Wang |
X Demographics
The data shown below were collected from the profiles of 18 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 | 1 | 6% |
| Australia | 1 | 6% |
| France | 1 | 6% |
| Turkey | 1 | 6% |
| Mongolia | 1 | 6% |
| Unknown | 13 | 72% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 89% |
| Scientists | 1 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 19 | 16% |
| Researcher | 12 | 10% |
| Student > Master | 12 | 10% |
| Other | 9 | 8% |
| Student > Ph. D. Student | 8 | 7% |
| Other | 18 | 15% |
| Unknown | 41 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 19% |
| Nursing and Health Professions | 11 | 9% |
| Agricultural and Biological Sciences | 6 | 5% |
| Biochemistry, Genetics and Molecular Biology | 5 | 4% |
| Psychology | 5 | 4% |
| Other | 25 | 21% |
| Unknown | 44 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 21 September 2023.
All research outputs
#1,135,736
of 25,534,033 outputs
Outputs from Chinese Medicine
#13
of 667 outputs
Outputs of similar age
#31,803
of 425,635 outputs
Outputs of similar age from Chinese Medicine
#1
of 18 outputs
Altmetric has tracked 25,534,033 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 667 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 98% 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 425,635 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.