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X Demographics
Mendeley readers
Attention Score in Context
Title |
Understanding the management of electronic test result notifications in the outpatient setting
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, April 2011
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 50% |
United Kingdom | 1 | 25% |
Australia | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 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 | 108 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 19% |
Student > Master | 20 | 17% |
Student > Ph. D. Student | 15 | 13% |
Other | 11 | 10% |
Professor > Associate Professor | 9 | 8% |
Other | 25 | 22% |
Unknown | 13 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 44 | 38% |
Computer Science | 13 | 11% |
Nursing and Health Professions | 11 | 10% |
Social Sciences | 10 | 9% |
Psychology | 8 | 7% |
Other | 14 | 12% |
Unknown | 15 | 13% |
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.