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Considering patient safety in autonomous e-mental health systems – detecting risk situations and referring patients back to human care

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2019
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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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
199 Mendeley
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Title
Considering patient safety in autonomous e-mental health systems – detecting risk situations and referring patients back to human care
Published in
BMC Medical Informatics and Decision Making, March 2019
DOI 10.1186/s12911-019-0796-x
Pubmed ID
Authors

Myrthe L. Tielman, Mark A. Neerincx, Claudia Pagliari, Albert Rizzo, Willem-Paul Brinkman

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 199 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 14%
Student > Ph. D. Student 25 13%
Researcher 20 10%
Student > Bachelor 18 9%
Student > Doctoral Student 16 8%
Other 30 15%
Unknown 62 31%
Readers by discipline Count As %
Psychology 30 15%
Computer Science 26 13%
Nursing and Health Professions 19 10%
Medicine and Dentistry 15 8%
Business, Management and Accounting 9 5%
Other 32 16%
Unknown 68 34%
Attention Score in Context

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 06 July 2019.
All research outputs
#4,224,314
of 24,833,726 outputs
Outputs from BMC Medical Informatics and Decision Making
#346
of 2,116 outputs
Outputs of similar age
#90,245
of 386,695 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#12
of 47 outputs
Altmetric has tracked 24,833,726 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 2,116 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 83% 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 386,695 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 76% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.