| Title |
Hypothesis: What is the Best We Can Do with Hydroxychloroquine for COVID-19?
|
|---|---|
| Published in |
Clinical Epidemiology, October 2020
|
| DOI | 10.2147/clep.s277889 |
| Pubmed ID | |
| Authors |
Shuncong Wang, Stefaan Mulier, Charles Jonscher, Sheng Ye, Lei Chen, Yuanbo Feng, Yue Li, Yicheng Ni |
X Demographics
The data shown below were collected from the profiles of 56 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 11 | 20% |
| United States | 2 | 4% |
| Germany | 1 | 2% |
| Switzerland | 1 | 2% |
| Belgium | 1 | 2% |
| Netherlands | 1 | 2% |
| Japan | 1 | 2% |
| Unknown | 38 | 68% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 53 | 95% |
| Practitioners (doctors, other healthcare professionals) | 2 | 4% |
| Scientists | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 149 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 33 | 22% |
| Other | 5 | 3% |
| Researcher | 4 | 3% |
| Student > Doctoral Student | 4 | 3% |
| Student > Master | 3 | 2% |
| Other | 8 | 5% |
| Unknown | 92 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 24 | 16% |
| Medicine and Dentistry | 14 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Social Sciences | 3 | 2% |
| Environmental Science | 2 | 1% |
| Other | 8 | 5% |
| Unknown | 92 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 16 January 2021.
All research outputs
#1,169,550
of 25,446,666 outputs
Outputs from Clinical Epidemiology
#49
of 793 outputs
Outputs of similar age
#32,066
of 432,954 outputs
Outputs of similar age from Clinical Epidemiology
#3
of 19 outputs
Altmetric has tracked 25,446,666 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 793 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. 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 432,954 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 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.