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Title |
Development of a practical training method for a healthcare artificial intelligence (AI) chatbot
|
---|---|
Published in |
BMJ Innovations, December 2020
|
DOI | 10.1136/bmjinnov-2020-000530 |
Authors |
Julia Lin, Todd Joseph, Joanna Jean Parga-Belinkie, Abigail Mandel, Ryan Schumacher, Karl Neumann, Laura Scalise, Jessica Gaulton, Lori Christ, Kirstin Leitner, Roy Rosin |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 46% |
Brazil | 1 | 8% |
Unknown | 6 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 92% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 5 | 17% |
Student > Ph. D. Student | 3 | 10% |
Other | 2 | 7% |
Student > Master | 2 | 7% |
Researcher | 2 | 7% |
Other | 3 | 10% |
Unknown | 12 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 14% |
Medicine and Dentistry | 4 | 14% |
Business, Management and Accounting | 2 | 7% |
Mathematics | 1 | 3% |
Nursing and Health Professions | 1 | 3% |
Other | 4 | 14% |
Unknown | 13 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 09 May 2021.
All research outputs
#4,613,562
of 26,526,336 outputs
Outputs from BMJ Innovations
#108
of 270 outputs
Outputs of similar age
#114,549
of 534,432 outputs
Outputs of similar age from BMJ Innovations
#6
of 21 outputs
Altmetric has tracked 26,526,336 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 270 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.0. This one has gotten more attention than average, scoring higher than 60% 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 534,432 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 78% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.