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Practice effects in medical school entrance testing with the undergraduate medicine and health sciences admission test (UMAT)

Overview of attention for article published in BMC Medical Education, March 2014
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Title
Practice effects in medical school entrance testing with the undergraduate medicine and health sciences admission test (UMAT)
Published in
BMC Medical Education, March 2014
DOI 10.1186/1472-6920-14-48
Pubmed ID
Authors

Ian B Puddey, Annette Mercer, David Andrich, Irene Styles

Abstract

The UMAT is widely used for selection into undergraduate medical and dental courses in Australia and New Zealand (NZ). It tests aptitudes thought to be especially relevant to medical studies and consists of 3 sections - logical reasoning and problem solving (UMAT-1), understanding people (UMAT-2) and non-verbal reasoning (UMAT-3). A substantial proportion of all candidates re-sit the UMAT. Re-sitting raises the issue as to what might be the precise magnitude and determinants of any practice effects on the UMAT and their implications for equity in subsequent selection processes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Ph. D. Student 5 11%
Student > Master 4 9%
Lecturer 3 7%
Student > Doctoral Student 3 7%
Other 8 17%
Unknown 15 33%
Readers by discipline Count As %
Medicine and Dentistry 15 33%
Psychology 8 17%
Social Sciences 4 9%
Economics, Econometrics and Finance 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 1 2%
Unknown 16 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 March 2014.
All research outputs
#16,666,148
of 24,520,187 outputs
Outputs from BMC Medical Education
#2,523
of 3,764 outputs
Outputs of similar age
#135,853
of 226,220 outputs
Outputs of similar age from BMC Medical Education
#48
of 61 outputs
Altmetric has tracked 24,520,187 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
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 is in the 22nd percentile – i.e., 22% 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 226,220 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.