↓ Skip to main content

An AI-enabled research support tool for the classification system of COVID-19

Overview of attention for article published in Frontiers in Public Health, March 2023
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
8 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
An AI-enabled research support tool for the classification system of COVID-19
Published in
Frontiers in Public Health, March 2023
DOI 10.3389/fpubh.2023.1124998
Pubmed ID
Authors

Arti Tiwari, Kamanasish Bhattacharjee, Millie Pant, Shilpa Srivastava, Vaclav Snasel

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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 13%
Student > Doctoral Student 1 13%
Unknown 6 75%
Readers by discipline Count As %
Linguistics 1 13%
Business, Management and Accounting 1 13%
Unknown 6 75%
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 20 March 2023.
All research outputs
#14,735,291
of 23,884,093 outputs
Outputs from Frontiers in Public Health
#3,837
of 11,746 outputs
Outputs of similar age
#192,481
of 405,139 outputs
Outputs of similar age from Frontiers in Public Health
#228
of 1,183 outputs
Altmetric has tracked 23,884,093 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,746 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 65% 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 405,139 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 50% of its contemporaries.
We're also able to compare this research output to 1,183 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.