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Analysis of decisions made in meta-analyses of depression screening and the risk of confirmation bias: A case study

Overview of attention for article published in BMC Medical Research Methodology, June 2012
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
24 tweeters

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Analysis of decisions made in meta-analyses of depression screening and the risk of confirmation bias: A case study
Published in
BMC Medical Research Methodology, June 2012
DOI 10.1186/1471-2288-12-76
Pubmed ID
Authors

Felicity A Goodyear-Smith, Mieke L van Driel, Bruce Arroll, Chris Del Mar

Abstract

Depression is common in primary care and clinicians are encouraged to screen their patients. Meta-analyses have evaluated the effectiveness of screening, but two author groups consistently reached completely opposite conclusions.

Twitter Demographics

The data shown below were collected from the profiles of 24 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Student > Ph. D. Student 9 21%
Student > Master 5 12%
Student > Bachelor 4 10%
Lecturer 3 7%
Other 10 24%
Unknown 1 2%
Readers by discipline Count As %
Medicine and Dentistry 18 43%
Psychology 12 29%
Nursing and Health Professions 5 12%
Social Sciences 2 5%
Agricultural and Biological Sciences 1 2%
Other 0 0%
Unknown 4 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 06 September 2018.
All research outputs
#1,073,188
of 14,083,287 outputs
Outputs from BMC Medical Research Methodology
#161
of 1,293 outputs
Outputs of similar age
#17,985
of 248,794 outputs
Outputs of similar age from BMC Medical Research Methodology
#8
of 121 outputs
Altmetric has tracked 14,083,287 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,293 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done well, scoring higher than 87% 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 248,794 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 121 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 93% of its contemporaries.