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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of traditional Chinese medicine for the treatment and prevention of COVID-19 and rehabilitation of COVID-19 patients: An evidence mapping study
|
|---|---|
| Published in |
Frontiers in Pharmacology, January 2023
|
| DOI | 10.3389/fphar.2023.1069879 |
| Pubmed ID | |
| Authors |
Yanfei Li, Yu Qin, Nan Chen, Long Ge, Qi Wang, Taslim Aboudou, Jiani Han, Liangying Hou, Liujiao Cao, Rui Li, Meixuan Li, Ningning Mi, Peng Xie, Siqing Wu, Linmin Hu, Xiuxia Li, Zhongyang Song, Jing Ji, Zhiming Zhang, Kehu Yang |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Ireland | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 20% |
| Student > Ph. D. Student | 1 | 20% |
| Unknown | 3 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 20% |
| Engineering | 1 | 20% |
| Unknown | 3 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 February 2023.
All research outputs
#14,920,696
of 25,389,116 outputs
Outputs from Frontiers in Pharmacology
#4,694
of 19,630 outputs
Outputs of similar age
#193,135
of 472,501 outputs
Outputs of similar age from Frontiers in Pharmacology
#141
of 915 outputs
Altmetric has tracked 25,389,116 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,630 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 74% 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 472,501 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 58% of its contemporaries.
We're also able to compare this research output to 915 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.