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Deep Sequential Models for Suicidal Ideation From Multiple Source Data

Overview of attention for article published in IEEE Journal of Biomedical and Health Informatics, May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
11 X users

Readers on

mendeley
66 Mendeley
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Article details
Title
Deep Sequential Models for Suicidal Ideation From Multiple Source Data
Published in
IEEE Journal of Biomedical and Health Informatics, May 2019
DOI 10.1109/jbhi.2019.2919270
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

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

Mendeley demographics

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 11 17%
Student > Ph. D. Student 9 14%
Professor > Associate Professor 5 8%
Student > Bachelor 4 6%
Student > Master 3 5%
Other 7 11%
Unknown 27 41%
Readers by discipline
Readers by discipline Count As %
Computer Science 9 14%
Psychology 7 11%
Nursing and Health Professions 3 5%
Medicine and Dentistry 3 5%
Engineering 3 5%
Other 7 11%
Unknown 34 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 April 2022.
All research outputs
#2,767,492
of 29,056,360 outputs
Outputs from IEEE Journal of Biomedical and Health Informatics
#59
of 1,537 outputs
Outputs of similar age
#50,441
of 370,468 outputs
Outputs of similar age from IEEE Journal of Biomedical and Health Informatics
#4
of 27 outputs
Altmetric has tracked 29,056,360 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,537 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 particularly well, scoring higher than 96% 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 370,468 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 86% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.