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Predictive validity of a new integrated selection process for medical school admission

Overview of attention for article published in BMC Medical Education, April 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Citations

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67 Mendeley
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Title
Predictive validity of a new integrated selection process for medical school admission
Published in
BMC Medical Education, April 2014
DOI 10.1186/1472-6920-14-86
Pubmed ID
Authors

Paul L Simpson, Helen A Scicluna, Philip D Jones, Andrew MD Cole, Anthony J O’Sullivan, Peter G Harris, Gary Velan, H Patrick McNeil

Abstract

This paper is an evaluation of an integrated selection process utilising previous academic achievement [Universities Admission Index (UAI)], a skills test [Undergraduate Medicine and Health Sciences Admission Test (UMAT)], and a structured interview, introduced (in its entirety) in 2004 as part of curriculum reform of the undergraduate Medicine Program at the University of New South Wales (UNSW), Australia. Demographic measures of gender, country of birth, educational background and rurality are considered.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Ecuador 1 1%
Unknown 65 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 12%
Student > Bachelor 8 12%
Student > Ph. D. Student 6 9%
Professor 6 9%
Student > Doctoral Student 4 6%
Other 13 19%
Unknown 22 33%
Readers by discipline Count As %
Medicine and Dentistry 24 36%
Psychology 6 9%
Social Sciences 5 7%
Nursing and Health Professions 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 4 6%
Unknown 25 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 April 2014.
All research outputs
#6,751,007
of 24,520,187 outputs
Outputs from BMC Medical Education
#1,147
of 3,764 outputs
Outputs of similar age
#60,412
of 231,890 outputs
Outputs of similar age from BMC Medical Education
#25
of 57 outputs
Altmetric has tracked 24,520,187 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,764 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 69% 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 231,890 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 73% of its contemporaries.
We're also able to compare this research output to 57 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 57% of its contemporaries.