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Assessing the validity of prospective hazard analysis methods: a comparison of two techniques

Overview of attention for article published in BMC Health Services Research, January 2014
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
13 tweeters
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
78 Mendeley
citeulike
1 CiteULike
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Title
Assessing the validity of prospective hazard analysis methods: a comparison of two techniques
Published in
BMC Health Services Research, January 2014
DOI 10.1186/1472-6963-14-41
Pubmed ID
Authors

Henry WW Potts, Janet E Anderson, Lacey Colligan, Paul Leach, Sheena Davis, Jon Berman

Abstract

Prospective Hazard Analysis techniques such as Healthcare Failure Modes and Effects Analysis (HFMEA) and Structured What If Technique (SWIFT) have the potential to increase safety by identifying risks before an adverse event occurs. Published accounts of their application in healthcare have identified benefits, but the reliability of some methods has been found to be low. The aim of this study was to examine the validity of SWIFT and HFMEA by comparing their outputs in the process of risk assessment, and comparing the results with risks identified by retrospective methods.

Twitter Demographics

The data shown below were collected from the profiles of 13 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
Portugal 1 1%
Unknown 74 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 27%
Student > Ph. D. Student 13 17%
Student > Bachelor 9 12%
Researcher 5 6%
Professor 5 6%
Other 15 19%
Unknown 10 13%
Readers by discipline Count As %
Medicine and Dentistry 17 22%
Engineering 10 13%
Unspecified 7 9%
Business, Management and Accounting 5 6%
Social Sciences 4 5%
Other 22 28%
Unknown 13 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 22 June 2017.
All research outputs
#1,131,313
of 12,372,945 outputs
Outputs from BMC Health Services Research
#490
of 4,083 outputs
Outputs of similar age
#23,210
of 226,370 outputs
Outputs of similar age from BMC Health Services Research
#8
of 52 outputs
Altmetric has tracked 12,372,945 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 4,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. 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 226,370 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 89% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.