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An internet-based algorithm for diabetic foot infection during the COVID-19 pandemic

Overview of attention for article published in Journal of Foot and Ankle Research, June 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

twitter
24 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
88 Mendeley
Title
An internet-based algorithm for diabetic foot infection during the COVID-19 pandemic
Published in
Journal of Foot and Ankle Research, June 2020
DOI 10.1186/s13047-020-00405-z
Pubmed ID
Authors

Chao Liu, Wen-Li Shi, Jia-Xing You, Hong-Ye Li, Lin Li

Twitter Demographics

The data shown below were collected from the profiles of 24 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 13%
Student > Master 11 13%
Other 9 10%
Researcher 7 8%
Professor 4 5%
Other 22 25%
Unknown 24 27%
Readers by discipline Count As %
Medicine and Dentistry 19 22%
Nursing and Health Professions 14 16%
Psychology 5 6%
Biochemistry, Genetics and Molecular Biology 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 15 17%
Unknown 29 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 09 February 2021.
All research outputs
#1,535,882
of 18,593,253 outputs
Outputs from Journal of Foot and Ankle Research
#111
of 677 outputs
Outputs of similar age
#43,344
of 301,344 outputs
Outputs of similar age from Journal of Foot and Ankle Research
#1
of 1 outputs
Altmetric has tracked 18,593,253 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 677 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 83% 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 301,344 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% 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