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Understanding the management of electronic test result notifications in the outpatient setting

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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4 X users

Citations

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59 Dimensions

Readers on

mendeley
116 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
Title
Understanding the management of electronic test result notifications in the outpatient setting
Published in
BMC Medical Informatics and Decision Making, April 2011
DOI 10.1186/1472-6947-11-22
Pubmed ID
Authors

Sylvia J Hysong, Mona K Sawhney, Lindsey Wilson, Dean F Sittig, Adol Esquivel, Simran Singh, Hardeep Singh

Abstract

Notifying clinicians about abnormal test results through electronic health record (EHR) -based "alert" notifications may not always lead to timely follow-up of patients. We sought to understand barriers, facilitators, and potential interventions for safe and effective management of abnormal test result delivery via electronic alerts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
United States 3 3%
Canada 1 <1%
Unknown 109 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 19%
Student > Master 20 17%
Student > Ph. D. Student 15 13%
Other 11 9%
Professor > Associate Professor 9 8%
Other 25 22%
Unknown 14 12%
Readers by discipline Count As %
Medicine and Dentistry 44 38%
Computer Science 13 11%
Nursing and Health Professions 11 9%
Social Sciences 10 9%
Psychology 8 7%
Other 14 12%
Unknown 16 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 October 2013.
All research outputs
#12,846,160
of 22,649,029 outputs
Outputs from BMC Medical Informatics and Decision Making
#875
of 1,977 outputs
Outputs of similar age
#78,567
of 108,826 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 16 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,977 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 53% 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 108,826 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 68% of its contemporaries.