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Safety Assurance Factors for Electronic Health Record Resilience (SAFER): study protocol

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2013
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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 (93rd percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
14 tweeters

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
96 Mendeley
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Title
Safety Assurance Factors for Electronic Health Record Resilience (SAFER): study protocol
Published in
BMC Medical Informatics and Decision Making, April 2013
DOI 10.1186/1472-6947-13-46
Pubmed ID
Authors

Hardeep Singh, Joan S Ash, Dean F Sittig

Abstract

Implementation and use of electronic health records (EHRs) could lead to potential improvements in quality of care. However, the use of EHRs also introduces unique and often unexpected patient safety risks. Proactive assessment of risks and vulnerabilities can help address potential EHR-related safety hazards before harm occurs; however, current risk assessment methods are underdeveloped. The overall objective of this project is to develop and validate proactive assessment tools to ensure that EHR-enabled clinical work systems are safe and effective.

Twitter Demographics

The data shown below were collected from the profiles of 14 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Canada 2 2%
United States 2 2%
Argentina 1 1%
Unknown 89 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 19%
Student > Ph. D. Student 16 17%
Student > Master 14 15%
Student > Doctoral Student 8 8%
Student > Postgraduate 8 8%
Other 25 26%
Unknown 7 7%
Readers by discipline Count As %
Medicine and Dentistry 42 44%
Computer Science 14 15%
Social Sciences 7 7%
Nursing and Health Professions 5 5%
Business, Management and Accounting 4 4%
Other 14 15%
Unknown 10 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 03 November 2016.
All research outputs
#879,234
of 14,515,808 outputs
Outputs from BMC Medical Informatics and Decision Making
#54
of 1,333 outputs
Outputs of similar age
#9,840
of 150,696 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 14,515,808 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,333 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 95% 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 150,696 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 93% 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