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X Demographics
Mendeley readers
Attention Score in Context
Title |
Prospective: Evolution of Chinese Medicine to Treat COVID-19 Patients in China
|
---|---|
Published in |
Frontiers in Pharmacology, February 2021
|
DOI | 10.3389/fphar.2020.615287 |
Pubmed ID | |
Authors |
Jieya Wu, Baoguo Sun, Li Hou, Fulan Guan, Liyuan Wang, Peikwen Cheng, Sophia Scobell, Yung-Chi Cheng, Wing Lam |
X Demographics
The data shown below were collected from the profiles of 12 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 | 3 | 25% |
New Zealand | 1 | 8% |
United Kingdom | 1 | 8% |
Unknown | 7 | 58% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 57 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 7 | 12% |
Student > Doctoral Student | 6 | 11% |
Student > Ph. D. Student | 5 | 9% |
Student > Postgraduate | 4 | 7% |
Researcher | 2 | 4% |
Other | 5 | 9% |
Unknown | 28 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 19% |
Nursing and Health Professions | 5 | 9% |
Chemistry | 2 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Immunology and Microbiology | 1 | 2% |
Other | 6 | 11% |
Unknown | 30 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 March 2023.
All research outputs
#2,852,937
of 25,490,562 outputs
Outputs from Frontiers in Pharmacology
#1,239
of 19,859 outputs
Outputs of similar age
#75,198
of 451,209 outputs
Outputs of similar age from Frontiers in Pharmacology
#59
of 629 outputs
Altmetric has tracked 25,490,562 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,859 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 done particularly well, scoring higher than 93% 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 451,209 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 83% of its contemporaries.
We're also able to compare this research output to 629 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 90% of its contemporaries.