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X Demographics
Mendeley readers
Attention Score in Context
Title |
Development and evaluation of rapid data-enabled access to routine clinical information to enhance early recruitment to the national clinical platform trial of COVID-19 community treatments
|
---|---|
Published in |
Trials, January 2022
|
DOI | 10.1186/s13063-021-05965-4 |
Pubmed ID | |
Authors |
Caroline Cake, Emma Ogburn, Heather Pinches, Garry Coleman, David Seymour, Fran Woodard, Sinduja Manohar, Marjia Monsur, Martin Landray, Gaynor Dalton, Andrew D. Morris, Patrick F. Chinnery, F. D. Richard Hobbs, Christopher Butler |
X Demographics
The data shown below were collected from the profiles of 15 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 Kingdom | 9 | 60% |
Germany | 1 | 7% |
Canada | 1 | 7% |
Unknown | 4 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 80% |
Practitioners (doctors, other healthcare professionals) | 2 | 13% |
Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 19% |
Researcher | 3 | 7% |
Student > Ph. D. Student | 3 | 7% |
Student > Bachelor | 2 | 5% |
Student > Postgraduate | 2 | 5% |
Other | 5 | 12% |
Unknown | 20 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 9% |
Engineering | 3 | 7% |
Social Sciences | 3 | 7% |
Nursing and Health Professions | 3 | 7% |
Agricultural and Biological Sciences | 2 | 5% |
Other | 7 | 16% |
Unknown | 21 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 31 January 2022.
All research outputs
#2,939,372
of 23,301,510 outputs
Outputs from Trials
#1,060
of 6,021 outputs
Outputs of similar age
#72,666
of 505,826 outputs
Outputs of similar age from Trials
#17
of 190 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,021 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done well, scoring higher than 82% 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 505,826 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 190 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 91% of its contemporaries.