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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Chinese medicine for residual symptoms of COVID-19 recovered patients (long COVID)—A double-blind, randomized, and placebo-controlled clinical trial protocol
|
|---|---|
| Published in |
Frontiers in Medicine, January 2023
|
| DOI | 10.3389/fmed.2022.990639 |
| Pubmed ID | |
| Authors |
Chi Him Sum, Jessica Yuet Ling Ching, Tianhe Song, Pui Kuan Cheong, Cho Wing Lo, Mei Kwan Lai, Chon Pin Chia, Kam Leung Chan, Yan Mak, Ka Chun Leung, Sin Bond Leung, Hongwei Zhang, Zhixiu Lin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 10% |
| Student > Master | 3 | 10% |
| Researcher | 3 | 10% |
| Unspecified | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 13 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 13% |
| Nursing and Health Professions | 3 | 10% |
| Unspecified | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 16 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 31 July 2024.
All research outputs
#3,833,120
of 26,563,001 outputs
Outputs from Frontiers in Medicine
#1,174
of 7,672 outputs
Outputs of similar age
#78,432
of 494,195 outputs
Outputs of similar age from Frontiers in Medicine
#62
of 443 outputs
Altmetric has tracked 26,563,001 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 84% 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 494,195 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 84% of its contemporaries.
We're also able to compare this research output to 443 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.