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Tips for Teachers of Evidence-Based Medicine: Adjusting for Prognostic Imbalances (Confounding Variables) in Studies on Therapy or Harm

Overview of attention for article published in Journal of General Internal Medicine, January 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
2 blogs
twitter
30 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
48 Mendeley
citeulike
2 CiteULike
Title
Tips for Teachers of Evidence-Based Medicine: Adjusting for Prognostic Imbalances (Confounding Variables) in Studies on Therapy or Harm
Published in
Journal of General Internal Medicine, January 2008
DOI 10.1007/s11606-007-0391-1
Pubmed ID
Authors

Cassie C. Kennedy, Roman Jaeschke, Sheri Keitz, Thomas Newman, Victor Montori, Peter C. Wyer, Gordon Guyatt, for the Evidence-Based Medicine Teaching Tips Working Group

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
United Kingdom 2 4%
India 1 2%
Bahamas 1 2%
Unknown 41 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Professor > Associate Professor 7 15%
Professor 7 15%
Other 6 13%
Librarian 4 8%
Other 11 23%
Unknown 6 13%
Readers by discipline Count As %
Medicine and Dentistry 28 58%
Philosophy 1 2%
Arts and Humanities 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 4 8%
Unknown 12 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 01 April 2024.
All research outputs
#1,342,947
of 25,726,194 outputs
Outputs from Journal of General Internal Medicine
#1,055
of 8,246 outputs
Outputs of similar age
#4,014
of 169,987 outputs
Outputs of similar age from Journal of General Internal Medicine
#4
of 44 outputs
Altmetric has tracked 25,726,194 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,246 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.2. This one has done well, scoring higher than 87% 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 169,987 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 44 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.