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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of an interactive web-based tool to conduct and interrogate meta-analysis of diagnostic test accuracy studies: MetaDTA
|
|---|---|
| Published in |
BMC Medical Research Methodology, April 2019
|
| DOI | 10.1186/s12874-019-0724-x |
| Pubmed ID | |
| Authors |
Suzanne C. Freeman, Clareece R. Kerby, Amit Patel, Nicola J. Cooper, Terry Quinn, Alex J. Sutton |
X Demographics
The data shown below were collected from the profiles of 16 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 | 10 | 63% |
| Colombia | 1 | 6% |
| United States | 1 | 6% |
| Canada | 1 | 6% |
| Unknown | 3 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 44% |
| Members of the public | 5 | 31% |
| Practitioners (doctors, other healthcare professionals) | 4 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 128 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 17% |
| Student > Master | 15 | 12% |
| Student > Ph. D. Student | 14 | 11% |
| Other | 11 | 9% |
| Student > Bachelor | 9 | 7% |
| Other | 18 | 14% |
| Unknown | 39 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 23% |
| Nursing and Health Professions | 7 | 5% |
| Computer Science | 6 | 5% |
| Biochemistry, Genetics and Molecular Biology | 5 | 4% |
| Social Sciences | 5 | 4% |
| Other | 31 | 24% |
| Unknown | 45 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 26 March 2021.
All research outputs
#1,536,201
of 23,142,049 outputs
Outputs from BMC Medical Research Methodology
#197
of 2,038 outputs
Outputs of similar age
#36,626
of 350,169 outputs
Outputs of similar age from BMC Medical Research Methodology
#11
of 61 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,038 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 90% 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 350,169 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 89% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.