| Title |
Subgrouping patients with sciatica in primary care for matched care pathways: development of a subgrouping algorithm
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, July 2019
|
| DOI | 10.1186/s12891-019-2686-x |
| Pubmed ID | |
| Authors |
Kika Konstantinou, Kate M. Dunn, Danielle van der Windt, Reuben Ogollah, Vinay Jasani, Nadine E. Foster |
X Demographics
The data shown below were collected from the profiles of 17 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 | 2 | 12% |
| Ireland | 1 | 6% |
| Australia | 1 | 6% |
| France | 1 | 6% |
| Canada | 1 | 6% |
| Italy | 1 | 6% |
| Colombia | 1 | 6% |
| Unknown | 9 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 47% |
| Members of the public | 7 | 41% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
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 % |
|---|---|---|
| Researcher | 6 | 14% |
| Student > Bachelor | 6 | 14% |
| Student > Doctoral Student | 4 | 10% |
| Other | 4 | 10% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 12 | 29% |
| Medicine and Dentistry | 7 | 17% |
| Engineering | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 6 | 14% |
| Unknown | 13 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 07 May 2021.
All research outputs
#3,104,064
of 23,151,828 outputs
Outputs from BMC Musculoskeletal Disorders
#629
of 4,117 outputs
Outputs of similar age
#65,600
of 348,559 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#15
of 81 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. Compared to these this one has done well and is in the 86th 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 84% 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 348,559 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 81% of its contemporaries.
We're also able to compare this research output to 81 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.