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Perioperative application of chatbots: a systematic review and meta-analysis

Overview of attention for article published in BMJ Health & Care Informatics, July 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Readers on

mendeley
8 Mendeley
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Title
Perioperative application of chatbots: a systematic review and meta-analysis
Published in
BMJ Health & Care Informatics, July 2024
DOI 10.1136/bmjhci-2023-100985
Pubmed ID
Authors

Shih-Jung Lin, Chin-Yu Sun, Dan-Ni Chen, Yi-No Kang, Nai Ming Lai, Kee-Hsin Chen, Chiehfeng Chen

Timeline

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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.
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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 75%
Professor 1 13%
Unknown 1 13%
Readers by discipline Count As %
Unspecified 6 75%
Medicine and Dentistry 1 13%
Unknown 1 13%
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 05 August 2024.
All research outputs
#18,142,941
of 26,538,769 outputs
Outputs from BMJ Health & Care Informatics
#399
of 517 outputs
Outputs of similar age
#126,711
of 252,542 outputs
Outputs of similar age from BMJ Health & Care Informatics
#5
of 10 outputs
Altmetric has tracked 26,538,769 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 517 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 15th percentile – i.e., 15% 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 252,542 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.