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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 (75th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
89 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

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 16%
Student > Ph. D. Student 13 15%
Researcher 12 13%
Student > Bachelor 12 13%
Student > Doctoral Student 8 9%
Other 13 15%
Unknown 17 19%
Readers by discipline Count As %
Psychology 16 18%
Computer Science 15 17%
Nursing and Health Professions 10 11%
Medicine and Dentistry 10 11%
Business, Management and Accounting 4 4%
Other 13 15%
Unknown 21 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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
#2,562,391
of 15,383,396 outputs
Outputs from BMC Medical Informatics and Decision Making
#245
of 1,393 outputs
Outputs of similar age
#65,901
of 266,077 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 20 outputs
Altmetric has tracked 15,383,396 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,393 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 82% 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 266,077 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 75% of its contemporaries.
We're also able to compare this research output to 20 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.