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Identification of factors associated with diagnostic error in primary care

Overview of attention for article published in BMC Primary Care, May 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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11 X users
facebook
3 Facebook pages

Citations

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9 Dimensions

Readers on

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79 Mendeley
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Title
Identification of factors associated with diagnostic error in primary care
Published in
BMC Primary Care, May 2014
DOI 10.1186/1471-2296-15-92
Pubmed ID
Authors

Sergio Minué, Clara Bermúdez-Tamayo, Alberto Fernández, José Jesús Martín-Martín, Vivian Benítez, Miguel Melguizo, Araceli Caro, María José Orgaz, Miguel Angel Prados, José Enrique Díaz, Rafael Montoro

Abstract

Missed, delayed or incorrect diagnoses are considered to be diagnostic errors. The aim of this paper is to describe the methodology of a study to analyse cognitive aspects of the process by which primary care (PC) physicians diagnose dyspnoea. It examines the possible links between the use of heuristics, suboptimal cognitive acts and diagnostic errors, using Reason's taxonomy of human error (slips, lapses, mistakes and violations). The influence of situational factors (professional experience, perceived overwork and fatigue) is also analysed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
France 1 1%
Netherlands 1 1%
Spain 1 1%
United States 1 1%
Unknown 73 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 22%
Student > Master 13 16%
Student > Ph. D. Student 10 13%
Student > Doctoral Student 4 5%
Student > Bachelor 4 5%
Other 17 22%
Unknown 14 18%
Readers by discipline Count As %
Medicine and Dentistry 33 42%
Psychology 5 6%
Social Sciences 5 6%
Business, Management and Accounting 4 5%
Nursing and Health Professions 4 5%
Other 12 15%
Unknown 16 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 21 June 2015.
All research outputs
#6,276,220
of 25,374,917 outputs
Outputs from BMC Primary Care
#781
of 2,359 outputs
Outputs of similar age
#55,557
of 241,837 outputs
Outputs of similar age from BMC Primary Care
#15
of 59 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 66% 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 241,837 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.