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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inflammatory biomarkers do not distinguish between patients with sciatica and referred leg pain within a primary care population: results from a nested study within the ATLAS cohort
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, May 2019
|
| DOI | 10.1186/s12891-019-2604-2 |
| Pubmed ID | |
| Authors |
Samantha L. Hider, Kika Konstantinou, Elaine M. Hay, John Glossop, Derek L. Mattey |
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 % |
|---|---|---|
| United Kingdom | 9 | 41% |
| Ireland | 1 | 5% |
| France | 1 | 5% |
| India | 1 | 5% |
| Australia | 1 | 5% |
| United States | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 7 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 64% |
| Scientists | 6 | 27% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 19% |
| Other | 7 | 17% |
| Student > Master | 6 | 14% |
| Professor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 15 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 24% |
| Nursing and Health Professions | 8 | 19% |
| Sports and Recreations | 3 | 7% |
| Neuroscience | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 14 | 33% |
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 15 August 2020.
All research outputs
#2,358,926
of 23,146,350 outputs
Outputs from BMC Musculoskeletal Disorders
#481
of 4,117 outputs
Outputs of similar age
#53,067
of 350,442 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#18
of 105 outputs
Altmetric has tracked 23,146,350 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 4,117 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 88% 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 350,442 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 105 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.