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X Demographics
Mendeley readers
Attention Score in Context
Title |
Prediction of persistent shoulder pain in general practice: Comparing clinical consensus from a Delphi procedure with a statistical scoring system
|
---|---|
Published in |
BMC Primary Care, June 2011
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DOI | 10.1186/1471-2296-12-63 |
Pubmed ID | |
Authors |
David Vergouw, Martijn W Heymans, Henrica CW de Vet, Daniëlle AWM van der Windt, Henriëtte E van der Horst |
Abstract |
In prognostic research, prediction rules are generally statistically derived. However the composition and performance of these statistical models may strongly depend on the characteristics of the derivation sample. The purpose of this study was to establish consensus among clinicians and experts on key predictors for persistent shoulder pain three months after initial consultation in primary care and assess the predictive performance of a model based on clinical expertise compared to a statistically derived model. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Unknown | 58 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 22% |
Student > Master | 11 | 19% |
Student > Doctoral Student | 6 | 10% |
Researcher | 6 | 10% |
Student > Bachelor | 4 | 7% |
Other | 12 | 20% |
Unknown | 7 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 39% |
Nursing and Health Professions | 8 | 14% |
Psychology | 6 | 10% |
Social Sciences | 3 | 5% |
Sports and Recreations | 2 | 3% |
Other | 7 | 12% |
Unknown | 10 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 May 2014.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from BMC Primary Care
#1,529
of 2,359 outputs
Outputs of similar age
#88,660
of 126,657 outputs
Outputs of similar age from BMC Primary Care
#22
of 36 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 126,657 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.