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Dual processing model of medical decision-making

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2012
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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 (92nd percentile)

Mentioned by

blogs
1 blog
twitter
7 tweeters

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
171 Mendeley
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Title
Dual processing model of medical decision-making
Published in
BMC Medical Informatics and Decision Making, September 2012
DOI 10.1186/1472-6947-12-94
Pubmed ID
Authors

Benjamin Djulbegovic, Iztok Hozo, Jason Beckstead, Athanasios Tsalatsanis, Stephen G Pauker

Abstract

Dual processing theory of human cognition postulates that reasoning and decision-making can be described as a function of both an intuitive, experiential, affective system (system I) and/or an analytical, deliberative (system II) processing system. To date no formal descriptive model of medical decision-making based on dual processing theory has been developed. Here we postulate such a model and apply it to a common clinical situation: whether treatment should be administered to the patient who may or may not have a disease.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
United States 2 1%
Germany 2 1%
Mexico 1 <1%
Unknown 162 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 15%
Researcher 26 15%
Student > Ph. D. Student 25 15%
Student > Master 22 13%
Professor > Associate Professor 12 7%
Other 43 25%
Unknown 17 10%
Readers by discipline Count As %
Medicine and Dentistry 59 35%
Psychology 20 12%
Nursing and Health Professions 18 11%
Social Sciences 9 5%
Business, Management and Accounting 6 4%
Other 35 20%
Unknown 24 14%

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 27 September 2013.
All research outputs
#1,195,836
of 14,436,191 outputs
Outputs from BMC Medical Informatics and Decision Making
#94
of 1,329 outputs
Outputs of similar age
#10,167
of 129,062 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 14,436,191 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 1,329 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 92% 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 129,062 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 92% 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