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Pretest probability assessment derived from attribute matching

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2005
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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 (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
2 blogs

Citations

dimensions_citation
95 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Pretest probability assessment derived from attribute matching
Published in
BMC Medical Informatics and Decision Making, August 2005
DOI 10.1186/1472-6947-5-26
Pubmed ID
Authors

Jeffrey A Kline, Charles L Johnson, Charles V Pollack, Deborah B Diercks, Judd E Hollander, Craig D Newgard, J Lee Garvey

Abstract

Pretest probability (PTP) assessment plays a central role in diagnosis. This report compares a novel attribute-matching method to generate a PTP for acute coronary syndrome (ACS). We compare the new method with a validated logistic regression equation (LRE).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Professor > Associate Professor 6 15%
Other 5 12%
Student > Bachelor 3 7%
Student > Doctoral Student 3 7%
Other 9 22%
Unknown 7 17%
Readers by discipline Count As %
Medicine and Dentistry 24 59%
Computer Science 2 5%
Immunology and Microbiology 1 2%
Mathematics 1 2%
Physics and Astronomy 1 2%
Other 3 7%
Unknown 9 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 05 April 2016.
All research outputs
#2,909,828
of 22,685,926 outputs
Outputs from BMC Medical Informatics and Decision Making
#233
of 1,979 outputs
Outputs of similar age
#5,341
of 57,480 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 5 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,979 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 88% 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 57,480 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.