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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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105 Mendeley
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 3 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 105 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 103 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 19%
Student > Master 12 11%
Professor 9 9%
Researcher 8 8%
Student > Bachelor 8 8%
Other 26 25%
Unknown 22 21%
Readers by discipline Count As %
Medicine and Dentistry 36 34%
Nursing and Health Professions 10 10%
Psychology 8 8%
Social Sciences 6 6%
Business, Management and Accounting 5 5%
Other 15 14%
Unknown 25 24%
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
#16,297,667
of 25,736,439 outputs
Outputs from BMC Medical Education
#2,317
of 4,050 outputs
Outputs of similar age
#201,029
of 347,096 outputs
Outputs of similar age from BMC Medical Education
#40
of 58 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,050 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 37th percentile – i.e., 37% 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 347,096 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% 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 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.