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X Demographics
Mendeley readers
Attention Score in Context
Title |
Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system
|
---|---|
Published in |
BMC Medical Research Methodology, June 2022
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DOI | 10.1186/s12874-022-01649-y |
Pubmed ID | |
Authors |
Patricia Sofia Jacobsen Jardim, Christopher James Rose, Heather Melanie Ames, Jose Francisco Meneses Echavez, Stijn Van de Velde, Ashley Elizabeth Muller |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Saudi Arabia | 4 | 18% |
United Kingdom | 4 | 18% |
Germany | 2 | 9% |
Thailand | 1 | 5% |
Ireland | 1 | 5% |
United States | 1 | 5% |
India | 1 | 5% |
Unknown | 8 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 68% |
Scientists | 6 | 27% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 23% |
Student > Master | 3 | 10% |
Other | 2 | 6% |
Librarian | 1 | 3% |
Student > Doctoral Student | 1 | 3% |
Other | 4 | 13% |
Unknown | 13 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 16% |
Computer Science | 3 | 10% |
Nursing and Health Professions | 3 | 10% |
Linguistics | 1 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 4 | 13% |
Unknown | 14 | 45% |
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 08 October 2022.
All research outputs
#2,623,934
of 24,601,689 outputs
Outputs from BMC Medical Research Methodology
#394
of 2,181 outputs
Outputs of similar age
#56,772
of 436,130 outputs
Outputs of similar age from BMC Medical Research Methodology
#8
of 58 outputs
Altmetric has tracked 24,601,689 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,181 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 436,130 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 86% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.