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Artificial intelligence in arthroplasty

Overview of attention for article published in Arthroplasty, November 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
60 Mendeley
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Title
Artificial intelligence in arthroplasty
Published in
Arthroplasty, November 2021
DOI 10.1186/s42836-021-00095-3
Pubmed ID
Authors

Glen Purnomo, Seng-Jin Yeo, Ming Han Lincoln Liow

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 12 20%
Other 3 5%
Lecturer 3 5%
Student > Bachelor 3 5%
Student > Doctoral Student 2 3%
Other 7 12%
Unknown 30 50%
Readers by discipline Count As %
Unspecified 12 20%
Medicine and Dentistry 11 18%
Engineering 3 5%
Computer Science 2 3%
Business, Management and Accounting 2 3%
Other 1 2%
Unknown 29 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 November 2021.
All research outputs
#18,733,166
of 23,885,338 outputs
Outputs from Arthroplasty
#78
of 125 outputs
Outputs of similar age
#300,533
of 430,002 outputs
Outputs of similar age from Arthroplasty
#6
of 11 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 125 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 32nd percentile – i.e., 32% 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 430,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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 54% of its contemporaries.