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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficacy and mechanisms of traditional Chinese medicine for COVID-19: a systematic review
|
|---|---|
| Published in |
Chinese Medicine, February 2022
|
| DOI | 10.1186/s13020-022-00587-7 |
| Pubmed ID | |
| Authors |
Xiaomin Kang, De Jin, Linlin Jiang, Yuqing Zhang, Yuehong Zhang, Xuedong An, Liyun Duan, Cunqing Yang, Rongrong Zhou, Yingying Duan, Yuting Sun, Fengmei Lian |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 2 | 13% |
| France | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 12 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 13% |
| Student > Master | 3 | 9% |
| Researcher | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Professor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 16 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Medicine and Dentistry | 3 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Engineering | 2 | 6% |
| Social Sciences | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 16 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 18 August 2023.
All research outputs
#1,336,205
of 25,392,582 outputs
Outputs from Chinese Medicine
#19
of 660 outputs
Outputs of similar age
#33,058
of 450,103 outputs
Outputs of similar age from Chinese Medicine
#1
of 24 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 97% 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 450,103 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 24 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 95% of its contemporaries.