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Evaluating Chatbot responses to patient questions in the field of glaucoma

Overview of attention for article published in Frontiers in Medicine, July 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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
8 Mendeley
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Title
Evaluating Chatbot responses to patient questions in the field of glaucoma
Published in
Frontiers in Medicine, July 2024
DOI 10.3389/fmed.2024.1359073
Pubmed ID
Authors

Darren Ngiap Hao Tan, Yih-Chung Tham, Victor Koh, Seng Chee Loon, Maria Cecilia Aquino, Katherine Lun, Ching-Yu Cheng, Kee Yuan Ngiam, Marcus Tan

Timeline

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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 5 63%
Student > Master 1 13%
Lecturer 1 13%
Unknown 1 13%
Readers by discipline Count As %
Unspecified 5 63%
Computer Science 2 25%
Unknown 1 13%
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 26 July 2024.
All research outputs
#5,090,719
of 26,374,559 outputs
Outputs from Frontiers in Medicine
#1,459
of 7,526 outputs
Outputs of similar age
#37,541
of 198,024 outputs
Outputs of similar age from Frontiers in Medicine
#16
of 107 outputs
Altmetric has tracked 26,374,559 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 7,526 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done well, scoring higher than 78% 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 198,024 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 79% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.