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Citywide quality of health information system through text mining of electronic health records

Overview of attention for article published in Applied Network Science, July 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
17 Mendeley
Title
Citywide quality of health information system through text mining of electronic health records
Published in
Applied Network Science, July 2021
DOI 10.1007/s41109-021-00395-2
Authors

Anastasia A. Funkner, Michil P. Egorov, Sergey A. Fokin, Gennady M. Orlov, Sergey V. Kovalchuk

Twitter Demographics

The data shown below were collected from the profiles of 3 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 %
Unspecified 4 24%
Professor > Associate Professor 2 12%
Researcher 2 12%
Professor 1 6%
Student > Bachelor 1 6%
Other 2 12%
Unknown 5 29%
Readers by discipline Count As %
Unspecified 5 29%
Computer Science 3 18%
Engineering 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 6 35%

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 18 July 2021.
All research outputs
#12,406,617
of 21,604,059 outputs
Outputs from Applied Network Science
#239
of 461 outputs
Outputs of similar age
#119,230
of 277,475 outputs
Outputs of similar age from Applied Network Science
#1
of 1 outputs
Altmetric has tracked 21,604,059 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 461 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 46th percentile – i.e., 46% 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 277,475 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 56% of its contemporaries.
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