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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effects of Chinese medicine for COVID-19 rehabilitation: a multicenter observational study
|
|---|---|
| Published in |
Chinese Medicine, August 2022
|
| DOI | 10.1186/s13020-022-00654-z |
| Pubmed ID | |
| Authors |
Linda Li-Dan Zhong, Yi-Ping Wong, Chor-Yin Leung, Bo Peng, Zhi-Xiu Lin, Vivian Chi-Woon Wong Taam, Yi Luo, Hai-Yong Chen, Chao-Dong Chao, Chor-Fung Wong, Freddie Shung-Chi Tam, Kui Chan, Kwan-Yiu Lee, Lai-Fun Ho, Alan Yat-Lun Wong, Chi-Fung Choy, Bacon Fung-Leung Ng, Rowena How-Wan Wong, Yi-Bin Feng, Ching Liong, Zhao-Xiang Bian |
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 % |
|---|---|---|
| China | 2 | 13% |
| United States | 1 | 6% |
| Hong Kong | 1 | 6% |
| Brazil | 1 | 6% |
| Japan | 1 | 6% |
| Unknown | 10 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 12% |
| Student > Master | 3 | 7% |
| Librarian | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 25 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 21% |
| Nursing and Health Professions | 2 | 5% |
| Unspecified | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 24 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 20 October 2023.
All research outputs
#1,497,067
of 25,839,971 outputs
Outputs from Chinese Medicine
#25
of 674 outputs
Outputs of similar age
#32,564
of 431,878 outputs
Outputs of similar age from Chinese Medicine
#1
of 22 outputs
Altmetric has tracked 25,839,971 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 674 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 96% 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 431,878 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 22 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.