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Meta-analysis of test accuracy studies: an exploratory method for investigating the impact of missing thresholds

Overview of attention for article published in Systematic Reviews, February 2015
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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 (83rd percentile)

Mentioned by

twitter
15 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
16 Dimensions

Readers on

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20 Mendeley
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Title
Meta-analysis of test accuracy studies: an exploratory method for investigating the impact of missing thresholds
Published in
Systematic Reviews, February 2015
DOI 10.1186/2046-4053-4-12
Pubmed ID
Authors

Richard D Riley, Ikhlaaq Ahmed, Joie Ensor, Yemisi Takwoingi, Amanda Kirkham, R Katie Morris, J Pieter Noordzij, Jonathan J Deeks

Abstract

Primary studies examining the accuracy of a continuous test evaluate its sensitivity and specificity at one or more thresholds. Meta-analysts then usually perform a separate meta-analysis for each threshold. However, the number of studies available for each threshold is often very different, as primary studies are inconsistent in the thresholds reported. Furthermore, of concern is selective reporting bias, because primary studies may be less likely to report a threshold when it gives low sensitivity and/or specificity estimates. This may lead to biased meta-analysis results. We developed an exploratory method to examine the potential impact of missing thresholds on conclusions from a test accuracy meta-analysis.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 20%
Student > Master 1 5%
Student > Ph. D. Student 1 5%
Other 1 5%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 12 60%
Readers by discipline Count As %
Medicine and Dentistry 2 10%
Immunology and Microbiology 1 5%
Agricultural and Biological Sciences 1 5%
Psychology 1 5%
Mathematics 1 5%
Other 1 5%
Unknown 13 65%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 16 February 2015.
All research outputs
#2,281,326
of 14,526,203 outputs
Outputs from Systematic Reviews
#476
of 1,278 outputs
Outputs of similar age
#45,074
of 282,437 outputs
Outputs of similar age from Systematic Reviews
#1
of 3 outputs
Altmetric has tracked 14,526,203 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,278 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has gotten more attention than average, scoring higher than 62% 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 282,437 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 83% 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