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Construct-level predictive validity of educational attainment and intellectual aptitude tests in medical student selection: meta-regression of six UK longitudinal studies

Overview of attention for article published in BMC Medicine, November 2013
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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 (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
6 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
115 Mendeley
citeulike
1 CiteULike
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Title
Construct-level predictive validity of educational attainment and intellectual aptitude tests in medical student selection: meta-regression of six UK longitudinal studies
Published in
BMC Medicine, November 2013
DOI 10.1186/1741-7015-11-243
Pubmed ID
Authors

IC McManus, Chris Dewberry, Sandra Nicholson, Jonathan S Dowell, Katherine Woolf, Henry WW Potts

Abstract

Measures used for medical student selection should predict future performance during training. A problem for any selection study is that predictor-outcome correlations are known only in those who have been selected, whereas selectors need to know how measures would predict in the entire pool of applicants. That problem of interpretation can be solved by calculating construct-level predictive validity, an estimate of true predictor-outcome correlation across the range of applicant abilities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
Malaysia 1 <1%
Unknown 110 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 17%
Student > Master 14 12%
Researcher 13 11%
Other 11 10%
Student > Bachelor 10 9%
Other 26 23%
Unknown 22 19%
Readers by discipline Count As %
Medicine and Dentistry 41 36%
Social Sciences 16 14%
Psychology 11 10%
Agricultural and Biological Sciences 3 3%
Computer Science 3 3%
Other 14 12%
Unknown 27 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 29 November 2018.
All research outputs
#1,409,529
of 25,728,855 outputs
Outputs from BMC Medicine
#985
of 4,079 outputs
Outputs of similar age
#12,499
of 225,447 outputs
Outputs of similar age from BMC Medicine
#23
of 50 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,079 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.9. This one has done well, scoring higher than 75% 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 225,447 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 94% of its contemporaries.
We're also able to compare this research output to 50 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 54% of its contemporaries.