↓ Skip to main content

Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care

Overview of attention for article published in Frontiers in Psychiatry, November 2021
Altmetric Badge

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 (89th percentile)

Mentioned by

twitter
25 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
100 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
Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care
Published in
Frontiers in Psychiatry, November 2021
DOI 10.3389/fpsyt.2021.734909
Pubmed ID
Authors

Brenna N. Renn, Matthew Schurr, Oleg Zaslavsky, Abhishek Pratap

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 9 9%
Student > Ph. D. Student 9 9%
Researcher 8 8%
Student > Master 5 5%
Student > Bachelor 4 4%
Other 11 11%
Unknown 54 54%
Readers by discipline Count As %
Unspecified 9 9%
Computer Science 7 7%
Psychology 7 7%
Nursing and Health Professions 3 3%
Medicine and Dentistry 3 3%
Other 14 14%
Unknown 57 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 26 June 2023.
All research outputs
#2,751,963
of 26,189,645 outputs
Outputs from Frontiers in Psychiatry
#1,685
of 13,026 outputs
Outputs of similar age
#58,398
of 435,835 outputs
Outputs of similar age from Frontiers in Psychiatry
#74
of 706 outputs
Altmetric has tracked 26,189,645 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,026 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done well, scoring higher than 87% 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 435,835 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 706 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.