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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Violations of local stochastic independence exaggerate scalability in Mokken scaling analysis of the Chinese Mandarin SF-36
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, October 2014
|
| DOI | 10.1186/s12955-014-0149-5 |
| Pubmed ID | |
| Authors |
Roger Watson, Wenru Wang, David R Thompson |
| Abstract |
Previous work using Mokken scaling analysis with the SF-36 has found subscales appearing to show excellent Mokken scaling properties. However, the values of scalability of the subscales are very large, raising the possibility that these are artificially high and this may result from violations of local stochastic independence between items. |
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 | 3 | 75% |
| 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Philippines | 1 | 4% |
| Unknown | 27 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 18% |
| Student > Master | 5 | 18% |
| Student > Doctoral Student | 4 | 14% |
| Researcher | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 6 | 21% |
| Psychology | 5 | 18% |
| Medicine and Dentistry | 4 | 14% |
| Social Sciences | 3 | 11% |
| Economics, Econometrics and Finance | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 5 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 21 April 2019.
All research outputs
#5,951,971
of 24,041,016 outputs
Outputs from Health and Quality of Life Outcomes
#656
of 2,229 outputs
Outputs of similar age
#62,077
of 265,050 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#5
of 22 outputs
Altmetric has tracked 24,041,016 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 70% 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 265,050 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 76% of its contemporaries.
We're also able to compare this research output to 22 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.