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Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review

Overview of attention for article published in Journal of Orthopaedic Surgery and Research, December 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
4 X users
reddit
2 Redditors

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review
Published in
Journal of Orthopaedic Surgery and Research, December 2022
DOI 10.1186/s13018-022-03408-7
Pubmed ID
Authors

Yonghan Cha, Jung-Taek Kim, Chan-Ho Park, Jin-Woo Kim, Sang Yeob Lee, Jun-Il Yoo

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 14%
Student > Master 4 11%
Student > Bachelor 2 5%
Student > Ph. D. Student 1 3%
Unspecified 1 3%
Other 2 5%
Unknown 22 59%
Readers by discipline Count As %
Medicine and Dentistry 5 14%
Computer Science 3 8%
Arts and Humanities 2 5%
Unspecified 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 8%
Unknown 22 59%
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 06 December 2022.
All research outputs
#14,896,446
of 24,954,788 outputs
Outputs from Journal of Orthopaedic Surgery and Research
#503
of 1,577 outputs
Outputs of similar age
#203,980
of 483,632 outputs
Outputs of similar age from Journal of Orthopaedic Surgery and Research
#4
of 27 outputs
Altmetric has tracked 24,954,788 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,577 research outputs from this source. They receive a mean Attention Score of 4.3. 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 483,632 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 55% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.