| Title |
Characteristics of registered clinical trials assessing treatments for COVID-19: a cross-sectional analysis
|
|---|---|
| Published in |
BMJ Open, June 2020
|
| DOI | 10.1136/bmjopen-2020-039978 |
| Pubmed ID | |
| Authors |
Hemalkumar B Mehta, Stephan Ehrhardt, Thomas J Moore, Jodi B Segal, G Caleb Alexander |
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 | 8 | 38% |
| India | 3 | 14% |
| France | 3 | 14% |
| United Kingdom | 2 | 10% |
| Unknown | 5 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 52% |
| Scientists | 6 | 29% |
| Practitioners (doctors, other healthcare professionals) | 4 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 178 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 24 | 13% |
| Student > Master | 20 | 11% |
| Researcher | 19 | 11% |
| Other | 16 | 9% |
| Student > Doctoral Student | 11 | 6% |
| Other | 36 | 20% |
| Unknown | 52 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 63 | 35% |
| Nursing and Health Professions | 17 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 5% |
| Computer Science | 4 | 2% |
| Neuroscience | 4 | 2% |
| Other | 22 | 12% |
| Unknown | 59 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 144. 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 11 September 2020.
All research outputs
#290,894
of 25,718,113 outputs
Outputs from BMJ Open
#483
of 25,884 outputs
Outputs of similar age
#9,525
of 434,610 outputs
Outputs of similar age from BMJ Open
#9
of 531 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,884 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has done particularly well, scoring higher than 98% 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 434,610 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 97% of its contemporaries.
We're also able to compare this research output to 531 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 98% of its contemporaries.