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Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression

Overview of attention for article published in Health and Quality of Life Outcomes, August 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
128 Mendeley
citeulike
5 CiteULike
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Title
Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression
Published in
Health and Quality of Life Outcomes, August 2010
DOI 10.1186/1477-7525-8-81
Pubmed ID
Authors

Neil W Scott, Peter M Fayers, Neil K Aaronson, Andrew Bottomley, Alexander de Graeff, Mogens Groenvold, Chad Gundy, Michael Koller, Morten A Petersen, Mirjam AG Sprangers, the EORTC Quality of Life Group and the Quality of Life Cross-Cultural Meta-Analysis Group

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Turkey 1 <1%
Malaysia 1 <1%
Czechia 1 <1%
Nigeria 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 121 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 18%
Student > Ph. D. Student 15 12%
Student > Master 15 12%
Student > Doctoral Student 12 9%
Student > Postgraduate 9 7%
Other 25 20%
Unknown 29 23%
Readers by discipline Count As %
Medicine and Dentistry 28 22%
Psychology 27 21%
Social Sciences 16 13%
Nursing and Health Professions 7 5%
Economics, Econometrics and Finance 3 2%
Other 14 11%
Unknown 33 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 June 2022.
All research outputs
#6,405,018
of 22,753,345 outputs
Outputs from Health and Quality of Life Outcomes
#737
of 2,157 outputs
Outputs of similar age
#29,307
of 94,457 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#1
of 3 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,157 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 64% 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 94,457 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them