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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modern psychometrics applied in rheumatology–A systematic review
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, October 2012
|
| DOI | 10.1186/1471-2474-13-216 |
| Pubmed ID | |
| Authors |
Liseth Siemons, Peter M ten Klooster, Erik Taal, Cees AW Glas, Mart AFJ Van de Laar |
| Abstract |
Although item response theory (IRT) appears to be increasingly used within health care research in general, a comprehensive overview of the frequency and characteristics of IRT analyses within the rheumatic field is lacking. An overview of the use and application of IRT in rheumatology to date may give insight into future research directions and highlight new possibilities for the improvement of outcome assessment in rheumatic conditions. Therefore, this study systematically reviewed the application of IRT to patient-reported and clinical outcome measures in rheumatology. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 50% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 54 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 20% |
| Student > Master | 10 | 18% |
| Student > Ph. D. Student | 8 | 14% |
| Professor > Associate Professor | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Other | 12 | 21% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 41% |
| Psychology | 7 | 13% |
| Social Sciences | 4 | 7% |
| Nursing and Health Professions | 4 | 7% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 9 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 March 2014.
All research outputs
#12,670,768
of 22,684,168 outputs
Outputs from BMC Musculoskeletal Disorders
#1,669
of 4,028 outputs
Outputs of similar age
#95,376
of 184,188 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#29
of 76 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,028 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 57% 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 184,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.