↓ Skip to main content

Purposeful selection of variables in logistic regression

Overview of attention for article published in Source Code for Biology and Medicine, December 2008
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 127)
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

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

Citations

dimensions_citation
1245 Dimensions

Readers on

mendeley
971 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 971 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 943 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 228 23%
Student > Ph. D. Student 187 19%
Researcher 141 15%
Student > Doctoral Student 74 8%
Student > Bachelor 64 7%
Other 178 18%
Unknown 99 10%
Readers by discipline Count As %
Medicine and Dentistry 332 34%
Nursing and Health Professions 67 7%
Social Sciences 61 6%
Agricultural and Biological Sciences 55 6%
Psychology 50 5%
Other 229 24%
Unknown 177 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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
#1,171,436
of 15,917,403 outputs
Outputs from Source Code for Biology and Medicine
#8
of 127 outputs
Outputs of similar age
#21,309
of 236,585 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 1 outputs
Altmetric has tracked 15,917,403 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 127 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 93% 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 236,585 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 90% 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