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Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source
Published in
BMC Medical Informatics and Decision Making, July 2019
DOI 10.1186/s12911-019-0864-2
Pubmed ID
Authors

Ellen L. Palmer, John Higgins, Saeed Hassanpour, James Sargent, Christina M. Robinson, Jennifer A. Doherty, Tracy Onega

Twitter Demographics

The data shown below were collected from the profiles of 7 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Researcher 6 18%
Student > Ph. D. Student 4 12%
Student > Bachelor 3 9%
Student > Postgraduate 2 6%
Other 4 12%
Unknown 8 24%
Readers by discipline Count As %
Medicine and Dentistry 12 35%
Engineering 3 9%
Computer Science 2 6%
Psychology 2 6%
Social Sciences 1 3%
Other 3 9%
Unknown 11 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 August 2019.
All research outputs
#4,665,253
of 15,569,630 outputs
Outputs from BMC Medical Informatics and Decision Making
#520
of 1,411 outputs
Outputs of similar age
#96,879
of 261,369 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 6 outputs
Altmetric has tracked 15,569,630 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,411 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 62% 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 261,369 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.