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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
9 X users

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
246 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Germany 2 <1%
United States 2 <1%
Mexico 1 <1%
Unknown 237 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 36 15%
Student > Master 35 14%
Researcher 29 12%
Student > Ph. D. Student 25 10%
Student > Doctoral Student 14 6%
Other 56 23%
Unknown 51 21%
Readers by discipline Count As %
Medicine and Dentistry 73 30%
Psychology 26 11%
Nursing and Health Professions 23 9%
Computer Science 10 4%
Social Sciences 9 4%
Other 46 19%
Unknown 59 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 09 December 2021.
All research outputs
#2,367,332
of 25,935,829 outputs
Outputs from BMC Medical Informatics and Decision Making
#137
of 2,170 outputs
Outputs of similar age
#15,341
of 188,237 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 42 outputs
Altmetric has tracked 25,935,829 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,170 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 188,237 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 91% of its contemporaries.
We're also able to compare this research output to 42 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 92% of its contemporaries.