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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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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
97 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.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 97 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 90 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 20%
Student > Master 18 19%
Student > Ph. D. Student 15 15%
Other 11 11%
Professor > Associate Professor 9 9%
Other 21 22%
Unknown 4 4%
Readers by discipline Count As %
Medicine and Dentistry 42 43%
Computer Science 12 12%
Social Sciences 9 9%
Nursing and Health Professions 9 9%
Psychology 7 7%
Other 12 12%
Unknown 6 6%

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
#3,591,354
of 12,409,138 outputs
Outputs from BMC Medical Informatics and Decision Making
#447
of 1,122 outputs
Outputs of similar age
#28,085
of 89,947 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 12,409,138 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,122 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 57% 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 89,947 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
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