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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 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 128)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

news
3 news outlets
policy
1 policy source
twitter
27 X users
patent
1 patent
q&a
1 Q&A thread
video
1 YouTube creator

Citations

dimensions_citation
2607 Dimensions

Readers on

mendeley
1738 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 1,738 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 5 <1%
United States 4 <1%
United Kingdom 3 <1%
Brazil 2 <1%
Canada 2 <1%
South Africa 1 <1%
Germany 1 <1%
Netherlands 1 <1%
Sri Lanka 1 <1%
Other 3 <1%
Unknown 1715 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 320 18%
Student > Ph. D. Student 273 16%
Researcher 207 12%
Student > Bachelor 122 7%
Student > Doctoral Student 105 6%
Other 311 18%
Unknown 400 23%
Readers by discipline Count As %
Medicine and Dentistry 483 28%
Nursing and Health Professions 142 8%
Social Sciences 86 5%
Agricultural and Biological Sciences 84 5%
Psychology 65 4%
Other 361 21%
Unknown 517 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 20 January 2024.
All research outputs
#920,802
of 26,017,215 outputs
Outputs from Source Code for Biology and Medicine
#3
of 128 outputs
Outputs of similar age
#3,024
of 187,108 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 2 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 128 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 97% 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 187,108 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 2 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