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Predicting academic outcomes in an Australian graduate entry medical programme

Overview of attention for article published in BMC Medical Education, February 2014
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Citations

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46 Dimensions

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102 Mendeley
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Title
Predicting academic outcomes in an Australian graduate entry medical programme
Published in
BMC Medical Education, February 2014
DOI 10.1186/1472-6920-14-31
Pubmed ID
Authors

Ian B Puddey, Annette Mercer

Abstract

Predictive validity studies for selection criteria into graduate entry courses in Australia have been inconsistent in their outcomes. One of the reasons for this inconsistency may have been failure to have adequately considered background disciplines of the graduates as well as other potential confounding socio-demographic variables that may influence academic performance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
United States 1 <1%
Unknown 100 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 20%
Student > Master 11 11%
Professor 9 9%
Researcher 8 8%
Student > Bachelor 8 8%
Other 23 23%
Unknown 23 23%
Readers by discipline Count As %
Medicine and Dentistry 35 34%
Nursing and Health Professions 10 10%
Psychology 8 8%
Social Sciences 6 6%
Business, Management and Accounting 5 5%
Other 12 12%
Unknown 26 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 March 2014.
All research outputs
#15,468,004
of 25,827,956 outputs
Outputs from BMC Medical Education
#2,031
of 4,070 outputs
Outputs of similar age
#190,245
of 347,502 outputs
Outputs of similar age from BMC Medical Education
#39
of 58 outputs
Altmetric has tracked 25,827,956 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,070 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 46th percentile – i.e., 46% 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 347,502 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.