↓ Skip to main content

Evaluation of the accuracy of diagnostic coding for influenza compared to laboratory results: the availability of test results before hospital discharge facilitates improved coding accuracy

Overview of attention for article published in BMC Medical Informatics and Decision Making, May 2021
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
17 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Evaluation of the accuracy of diagnostic coding for influenza compared to laboratory results: the availability of test results before hospital discharge facilitates improved coding accuracy
Published in
BMC Medical Informatics and Decision Making, May 2021
DOI 10.1186/s12911-021-01531-9
Pubmed ID
Authors

Nasir Wabe, Ling Li, Robert Lindeman, Jeffrey J. Post, Maria R. Dahm, Julie Li, Johanna I. Westbrook, Andrew Georgiou

Twitter Demographics

The data shown below were collected from the profiles of 5 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 12%
Other 2 12%
Researcher 1 6%
Unspecified 1 6%
Unknown 11 65%
Readers by discipline Count As %
Nursing and Health Professions 2 12%
Medicine and Dentistry 2 12%
Social Sciences 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Unspecified 1 6%
Other 0 0%
Unknown 9 53%

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 26 May 2021.
All research outputs
#6,847,342
of 21,285,520 outputs
Outputs from BMC Medical Informatics and Decision Making
#731
of 1,856 outputs
Outputs of similar age
#133,939
of 349,298 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 11 outputs
Altmetric has tracked 21,285,520 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,856 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 60% 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 349,298 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 61% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.