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Conversational agents in healthcare: a systematic review

Overview of attention for article published in Journal of the American Medical Informatics Association, July 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#38 of 3,339)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
13 news outlets
blogs
1 blog
policy
2 policy sources
twitter
67 X users
facebook
1 Facebook page

Citations

dimensions_citation
661 Dimensions

Readers on

mendeley
971 Mendeley
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Title
Conversational agents in healthcare: a systematic review
Published in
Journal of the American Medical Informatics Association, July 2018
DOI 10.1093/jamia/ocy072
Pubmed ID
Authors

Liliana Laranjo, Adam G Dunn, Huong Ly Tong, Ahmet Baki Kocaballi, Jessica Chen, Rabia Bashir, Didi Surian, Blanca Gallego, Farah Magrabi, Annie Y S Lau, Enrico Coiera

X Demographics

X Demographics

The data shown below were collected from the profiles of 67 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 971 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 971 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 131 13%
Student > Master 127 13%
Researcher 86 9%
Student > Bachelor 78 8%
Student > Doctoral Student 44 5%
Other 168 17%
Unknown 337 35%
Readers by discipline Count As %
Computer Science 200 21%
Medicine and Dentistry 70 7%
Psychology 50 5%
Business, Management and Accounting 48 5%
Social Sciences 41 4%
Other 183 19%
Unknown 379 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 154. 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 28 May 2023.
All research outputs
#271,051
of 26,017,215 outputs
Outputs from Journal of the American Medical Informatics Association
#38
of 3,339 outputs
Outputs of similar age
#5,714
of 342,084 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#2
of 43 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done particularly well, scoring higher than 98% 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 342,084 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.