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Investigation of publication bias in meta-analyses of diagnostic test accuracy: a meta-epidemiological study

Overview of attention for article published in BMC Medical Research Methodology, May 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

policy
1 policy source
twitter
17 X users

Citations

dimensions_citation
289 Dimensions

Readers on

mendeley
164 Mendeley
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1 CiteULike
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Title
Investigation of publication bias in meta-analyses of diagnostic test accuracy: a meta-epidemiological study
Published in
BMC Medical Research Methodology, May 2014
DOI 10.1186/1471-2288-14-70
Pubmed ID
Authors

W Annefloor van Enst, Eleanor Ochodo, Rob JPM Scholten, Lotty Hooft, Mariska M Leeflang

Abstract

The validity of a meta-analysis can be understood better in light of the possible impact of publication bias. The majority of the methods to investigate publication bias in terms of small study-effects are developed for meta-analyses of intervention studies, leaving authors of diagnostic test accuracy (DTA) systematic reviews with limited guidance. The aim of this study was to evaluate if and how publication bias was assessed in meta-analyses of DTA, and to compare the results of various statistical methods used to assess publication bias.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 <1%
Unknown 163 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 14%
Student > Ph. D. Student 19 12%
Student > Bachelor 19 12%
Researcher 18 11%
Student > Postgraduate 11 7%
Other 29 18%
Unknown 45 27%
Readers by discipline Count As %
Medicine and Dentistry 53 32%
Nursing and Health Professions 14 9%
Biochemistry, Genetics and Molecular Biology 7 4%
Agricultural and Biological Sciences 7 4%
Business, Management and Accounting 4 2%
Other 22 13%
Unknown 57 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 27 July 2020.
All research outputs
#2,584,964
of 23,881,329 outputs
Outputs from BMC Medical Research Methodology
#403
of 2,109 outputs
Outputs of similar age
#26,516
of 228,742 outputs
Outputs of similar age from BMC Medical Research Methodology
#4
of 31 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,109 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 80% 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 228,742 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 88% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.