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Should methodological filters for diagnostic test accuracy studies be used in systematic reviews of psychometric instruments? a case study involving screening for postnatal depression

Overview of attention for article published in Systematic Reviews, February 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

policy
1 policy source
peer_reviews
1 peer review site

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Should methodological filters for diagnostic test accuracy studies be used in systematic reviews of psychometric instruments? a case study involving screening for postnatal depression
Published in
Systematic Reviews, February 2012
DOI 10.1186/2046-4053-1-9
Pubmed ID
Authors

Rachel Mann, Simon M Gilbody

Abstract

Challenges exist when searching for diagnostic test accuracy (DTA) studies that include the design of DTA search strategies and selection of appropriate filters. This paper compares the performance of three MEDLINE search strategies for psychometric diagnostic test accuracy (DTA) studies in postnatal depression.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 3 6%
United Kingdom 1 2%
Unknown 46 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 8 16%
Student > Master 6 12%
Librarian 5 10%
Student > Postgraduate 3 6%
Other 5 10%
Unknown 12 24%
Readers by discipline Count As %
Medicine and Dentistry 14 28%
Psychology 4 8%
Nursing and Health Professions 4 8%
Computer Science 4 8%
Business, Management and Accounting 2 4%
Other 8 16%
Unknown 14 28%
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 19 January 2016.
All research outputs
#6,451,039
of 22,914,829 outputs
Outputs from Systematic Reviews
#1,201
of 2,002 outputs
Outputs of similar age
#58,893
of 248,528 outputs
Outputs of similar age from Systematic Reviews
#8
of 15 outputs
Altmetric has tracked 22,914,829 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 2,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 248,528 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 74% of its contemporaries.
We're also able to compare this research output to 15 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 53% of its contemporaries.