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Purposeful selection of variables in logistic regression

Overview of attention for article published in Source Code for Biology and Medicine, December 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 126)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

policy
2 policy sources
twitter
8 tweeters
q&a
1 Q&A thread

Citations

dimensions_citation
1128 Dimensions

Readers on

mendeley
860 Mendeley
citeulike
1 CiteULike
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Title
Purposeful selection of variables in logistic regression
Published in
Source Code for Biology and Medicine, December 2008
DOI 10.1186/1751-0473-3-17
Pubmed ID
Authors

Zoran Bursac, C Heath Gauss, David Keith Williams, David W Hosmer

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 860 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 <1%
France 5 <1%
Canada 4 <1%
United Kingdom 3 <1%
Brazil 2 <1%
Peru 1 <1%
Italy 1 <1%
Netherlands 1 <1%
South Africa 1 <1%
Other 4 <1%
Unknown 832 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 204 24%
Student > Ph. D. Student 170 20%
Researcher 123 14%
Student > Doctoral Student 69 8%
Student > Bachelor 57 7%
Other 155 18%
Unknown 82 10%
Readers by discipline Count As %
Medicine and Dentistry 303 35%
Social Sciences 57 7%
Nursing and Health Professions 55 6%
Agricultural and Biological Sciences 53 6%
Psychology 46 5%
Other 193 22%
Unknown 153 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 16 January 2020.
All research outputs
#1,232,825
of 14,546,539 outputs
Outputs from Source Code for Biology and Medicine
#11
of 126 outputs
Outputs of similar age
#24,559
of 233,387 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 1 outputs
Altmetric has tracked 14,546,539 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 126 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 91% 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 233,387 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them