↓ Skip to main content

The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: a systematic review

Overview of attention for article published in Frontiers in Psychiatry, March 2024
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
5 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: a systematic review
Published in
Frontiers in Psychiatry, March 2024
DOI 10.3389/fpsyt.2024.1291362
Pubmed ID
Authors

Nibene H. Somé, Pardis Noormohammadpour, Shannon Lange

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Unspecified 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Unspecified 1 20%
Nursing and Health Professions 1 20%
Neuroscience 1 20%
Medicine and Dentistry 1 20%
Unknown 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 March 2024.
All research outputs
#15,548,014
of 25,418,993 outputs
Outputs from Frontiers in Psychiatry
#5,240
of 12,690 outputs
Outputs of similar age
#63,181
of 154,137 outputs
Outputs of similar age from Frontiers in Psychiatry
#54
of 298 outputs
Altmetric has tracked 25,418,993 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,690 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 58% 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 154,137 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 298 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.