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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 (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
21 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 10%
Researcher 2 10%
Professor 1 5%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 13 62%
Readers by discipline Count As %
Computer Science 3 14%
Engineering 2 10%
Business, Management and Accounting 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Unknown 14 67%
Attention Score in Context

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
#13,392,150
of 23,308,124 outputs
Outputs from Applied Network Science
#260
of 513 outputs
Outputs of similar age
#169,849
of 404,849 outputs
Outputs of similar age from Applied Network Science
#9
of 24 outputs
Altmetric has tracked 23,308,124 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 513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 47th percentile – i.e., 47% 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 404,849 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 57% of its contemporaries.
We're also able to compare this research output to 24 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 62% of its contemporaries.