| Title |
Traditional Chinese herbal medicine for treating novel coronavirus (COVID-19) pneumonia: protocol for a systematic review and meta-analysis
|
|---|---|
| Published in |
Systematic Reviews, April 2020
|
| DOI | 10.1186/s13643-020-01343-4 |
| Pubmed ID | |
| Authors |
Yuxi Li, Xiaobo Liu, Liuxue Guo, Juan Li, Dongling Zhong, Yonggang Zhang, Mike Clarke, Rongjiang Jin |
X Demographics
The data shown below were collected from the profiles of 21 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 | 4 | 19% |
| Australia | 2 | 10% |
| United Kingdom | 2 | 10% |
| India | 1 | 5% |
| Comoros | 1 | 5% |
| Mexico | 1 | 5% |
| Philippines | 1 | 5% |
| United Arab Emirates | 1 | 5% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 71% |
| Practitioners (doctors, other healthcare professionals) | 5 | 24% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 454 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 454 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 54 | 12% |
| Researcher | 53 | 12% |
| Student > Bachelor | 50 | 11% |
| Lecturer | 28 | 6% |
| Student > Ph. D. Student | 28 | 6% |
| Other | 108 | 24% |
| Unknown | 133 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 96 | 21% |
| Biochemistry, Genetics and Molecular Biology | 35 | 8% |
| Nursing and Health Professions | 31 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 30 | 7% |
| Agricultural and Biological Sciences | 22 | 5% |
| Other | 84 | 19% |
| Unknown | 156 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 02 August 2021.
All research outputs
#2,351,000
of 25,093,754 outputs
Outputs from Systematic Reviews
#396
of 2,191 outputs
Outputs of similar age
#54,763
of 377,576 outputs
Outputs of similar age from Systematic Reviews
#11
of 60 outputs
Altmetric has tracked 25,093,754 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,191 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 81% 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 377,576 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 85% of its contemporaries.
We're also able to compare this research output to 60 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.