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A Comprehensive Overview of Medical Error in Hospitals Using Incident-Reporting Systems, Patient Complaints and Chart Review of Inpatient Deaths

Overview of attention for article published in PLOS ONE, February 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 (88th percentile)

Mentioned by

policy
2 policy sources
twitter
15 X users
facebook
2 Facebook pages

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
132 Mendeley
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Title
A Comprehensive Overview of Medical Error in Hospitals Using Incident-Reporting Systems, Patient Complaints and Chart Review of Inpatient Deaths
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0031125
Pubmed ID
Authors

Jeantine M. de Feijter, Willem S. de Grave, Arno M. Muijtjens, Albert J. J. A. Scherpbier, Richard P. Koopmans

Abstract

Incident reporting systems (IRS) are used to identify medical errors in order to learn from mistakes and improve patient safety in hospitals. However, IRS contain only a small fraction of occurring incidents. A more comprehensive overview of medical error in hospitals may be obtained by combining information from multiple sources. The WHO has developed the International Classification for Patient Safety (ICPS) in order to enable comparison of incident reports from different sources and institutions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
Uruguay 1 <1%
South Africa 1 <1%
Unknown 127 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 20%
Student > Ph. D. Student 21 16%
Researcher 14 11%
Other 9 7%
Student > Bachelor 9 7%
Other 28 21%
Unknown 25 19%
Readers by discipline Count As %
Medicine and Dentistry 46 35%
Nursing and Health Professions 16 12%
Business, Management and Accounting 8 6%
Psychology 6 5%
Social Sciences 6 5%
Other 20 15%
Unknown 30 23%
Attention Score in Context

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 18 November 2015.
All research outputs
#2,336,665
of 24,712,008 outputs
Outputs from PLOS ONE
#28,854
of 213,839 outputs
Outputs of similar age
#13,371
of 159,144 outputs
Outputs of similar age from PLOS ONE
#405
of 3,553 outputs
Altmetric has tracked 24,712,008 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 213,839 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 86% 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 159,144 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 3,553 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.