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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and validation of a pain monitoring app for patients with musculoskeletal conditions (The Keele pain recorder feasibility study)
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2019
|
| DOI | 10.1186/s12911-019-0741-z |
| Pubmed ID | |
| Authors |
John Bedson, Jonathon Hill, David White, Ying Chen, Simon Wathall, Stephen Dent, Kendra Cooke, Danielle van der Windt |
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 | 6 | 40% |
| United States | 4 | 27% |
| Finland | 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 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 167 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 13% |
| Researcher | 20 | 12% |
| Student > Bachelor | 19 | 11% |
| Student > Ph. D. Student | 16 | 10% |
| Other | 14 | 8% |
| Other | 30 | 18% |
| Unknown | 46 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 21% |
| Nursing and Health Professions | 28 | 17% |
| Psychology | 10 | 6% |
| Social Sciences | 7 | 4% |
| Computer Science | 6 | 4% |
| Other | 24 | 14% |
| Unknown | 57 | 34% |
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 17 July 2019.
All research outputs
#3,120,448
of 24,858,211 outputs
Outputs from BMC Medical Informatics and Decision Making
#229
of 2,114 outputs
Outputs of similar age
#70,145
of 448,226 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 46 outputs
Altmetric has tracked 24,858,211 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 2,114 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 89% 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 448,226 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 84% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.