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The applications of machine learning in plastic and reconstructive surgery: protocol of a systematic review

Overview of attention for article published in Systematic Reviews, February 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
45 Mendeley
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Title
The applications of machine learning in plastic and reconstructive surgery: protocol of a systematic review
Published in
Systematic Reviews, February 2020
DOI 10.1186/s13643-020-01304-x
Pubmed ID
Authors

Angelos Mantelakis, Ankur Khajuria

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 11%
Student > Postgraduate 5 11%
Student > Ph. D. Student 3 7%
Student > Bachelor 2 4%
Professor 2 4%
Other 7 16%
Unknown 21 47%
Readers by discipline Count As %
Medicine and Dentistry 13 29%
Engineering 3 7%
Computer Science 1 2%
Psychology 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 9%
Unknown 22 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 29 February 2020.
All research outputs
#4,576,091
of 24,833,726 outputs
Outputs from Systematic Reviews
#916
of 2,164 outputs
Outputs of similar age
#89,092
of 364,525 outputs
Outputs of similar age from Systematic Reviews
#27
of 49 outputs
Altmetric has tracked 24,833,726 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,164 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 57% 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 364,525 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 75% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.