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A basic model for assessing primary health care electronic medical record data quality

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
147 Mendeley
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Title
A basic model for assessing primary health care electronic medical record data quality
Published in
BMC Medical Informatics and Decision Making, February 2019
DOI 10.1186/s12911-019-0740-0
Pubmed ID
Authors

Amanda L. Terry, Moira Stewart, Sonny Cejic, J. Neil Marshall, Simon de Lusignan, Bert M. Chesworth, Vijaya Chevendra, Heather Maddocks, Joshua Shadd, Fred Burge, Amardeep Thind

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 147 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 14%
Researcher 19 13%
Student > Master 16 11%
Student > Bachelor 14 10%
Student > Postgraduate 10 7%
Other 22 15%
Unknown 46 31%
Readers by discipline Count As %
Medicine and Dentistry 29 20%
Computer Science 17 12%
Nursing and Health Professions 15 10%
Engineering 5 3%
Social Sciences 4 3%
Other 23 16%
Unknown 54 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 February 2019.
All research outputs
#15,509,480
of 23,128,387 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,323
of 2,015 outputs
Outputs of similar age
#270,240
of 447,271 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#27
of 41 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,015 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 447,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.