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Prospective evaluation of artificial intelligence (AI) applications for use in cancer pathways following diagnosis: a systematic review

Overview of attention for article published in BMJ Oncology, May 2024
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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 (77th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
14 X users

Readers on

mendeley
3 Mendeley
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Title
Prospective evaluation of artificial intelligence (AI) applications for use in cancer pathways following diagnosis: a systematic review
Published in
BMJ Oncology, May 2024
DOI 10.1136/bmjonc-2023-000255
Authors

Sheba Macheka, Peng Yun Ng, Ophira Ginsburg, Andrew Hope, Richard Sullivan, Ajay Aggarwal

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 3 100%
Readers by discipline Count As %
Medicine and Dentistry 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 11 July 2024.
All research outputs
#5,467,634
of 26,301,262 outputs
Outputs from BMJ Oncology
#42
of 79 outputs
Outputs of similar age
#72,236
of 323,708 outputs
Outputs of similar age from BMJ Oncology
#11
of 18 outputs
Altmetric has tracked 26,301,262 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 79 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 52.6. This one is in the 45th percentile – i.e., 45% 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 323,708 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 77% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.