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| Title |
Core Outcome Set for Clinical Trials of COVID-19 Based on Traditional Chinese and Western Medicine
|
|---|---|
| Published in |
Frontiers in Pharmacology, May 2020
|
| DOI | 10.3389/fphar.2020.00781 |
| Pubmed ID | |
| Authors |
Ruijin Qiu, Chen Zhao, Tengxiao Liang, Xuezeng Hao, Ya Huang, Xiaoyu Zhang, Zhao Chen, Xuxu Wei, Mengzhu Zhao, Changming Zhong, Jiayuan Hu, Min Li, Songjie Han, Tianmai He, Yang Sun, Jing Chen, Hongcai Shang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 14% |
| Unknown | 12 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 86% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 138 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 15% |
| Student > Master | 16 | 12% |
| Other | 12 | 9% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 8 | 6% |
| Other | 34 | 25% |
| Unknown | 37 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 49 | 36% |
| Nursing and Health Professions | 16 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Computer Science | 3 | 2% |
| Other | 17 | 12% |
| Unknown | 45 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 28 June 2020.
All research outputs
#5,744,583
of 23,511,526 outputs
Outputs from Frontiers in Pharmacology
#2,305
of 17,082 outputs
Outputs of similar age
#121,054
of 394,680 outputs
Outputs of similar age from Frontiers in Pharmacology
#90
of 485 outputs
Altmetric has tracked 23,511,526 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,082 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 well, scoring higher than 86% 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 394,680 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 69% of its contemporaries.
We're also able to compare this research output to 485 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.