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Determining relative importance of variables in developing and validating predictive models

Overview of attention for article published in BMC Medical Research Methodology, September 2009
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Mentioned by

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1 Q&A thread

Readers on

mendeley
81 Mendeley
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4 CiteULike
Title
Determining relative importance of variables in developing and validating predictive models
Published in
BMC Medical Research Methodology, September 2009
DOI 10.1186/1471-2288-9-64
Pubmed ID
Authors

Joseph Beyene, Eshetu G Atenafu, Jemila S Hamid, Teresa To, Lillian Sung

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 2 2%
France 1 1%
Brazil 1 1%
United Kingdom 1 1%
Denmark 1 1%
United States 1 1%
Unknown 74 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 25%
Student > Ph. D. Student 17 21%
Student > Master 10 12%
Professor 6 7%
Other 5 6%
Other 18 22%
Unknown 5 6%
Readers by discipline Count As %
Medicine and Dentistry 24 30%
Agricultural and Biological Sciences 8 10%
Social Sciences 5 6%
Engineering 4 5%
Computer Science 4 5%
Other 23 28%
Unknown 13 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 September 2010.
All research outputs
#12,930,522
of 22,818,766 outputs
Outputs from BMC Medical Research Methodology
#1,190
of 2,012 outputs
Outputs of similar age
#73,759
of 92,240 outputs
Outputs of similar age from BMC Medical Research Methodology
#3
of 4 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,012 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 39th percentile – i.e., 39% 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 92,240 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.