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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Role of Traditional Chinese Medicine in Treating Severe or Critical COVID-19: A Systematic Review of Randomized Controlled Trials and Observational Studies
|
|---|---|
| Published in |
Frontiers in Pharmacology, July 2022
|
| DOI | 10.3389/fphar.2022.926189 |
| Pubmed ID | |
| Authors |
Mengting Li, Hongfei Zhu, Yafei Liu, Yao Lu, Minyao Sun, Yuqing Zhang, Jiaheng Shi, Nannan Shi, Ling Li, Kehu Yang, Xin Sun, Jie Liu, Long Ge, Luqi Huang |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 18% |
| Professor | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 10 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 12% |
| Economics, Econometrics and Finance | 1 | 6% |
| Environmental Science | 1 | 6% |
| Social Sciences | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 11 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 01 January 2023.
All research outputs
#2,023,616
of 23,660,680 outputs
Outputs from Frontiers in Pharmacology
#763
of 17,276 outputs
Outputs of similar age
#44,300
of 436,992 outputs
Outputs of similar age from Frontiers in Pharmacology
#23
of 1,293 outputs
Altmetric has tracked 23,660,680 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,276 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 95% 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 436,992 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1,293 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 98% of its contemporaries.