↓ Skip to main content

Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward

Overview of attention for article published in Behaviour Research & Therapy, December 2023
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
48 X users
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
53 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
Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward
Published in
Behaviour Research & Therapy, December 2023
DOI 10.1016/j.brat.2023.104443
Pubmed ID
Authors

Anne-Katharina Deisenhofer, Michael Barkham, Esther T. Beierl, Brian Schwartz, Katie Aafjes-van Doorn, Christopher G. Beevers, Isabel M. Berwian, Simon E. Blackwell, Claudi L. Bockting, Eva-Lotta Brakemeier, Gary Brown, Joshua E.J. Buckman, Louis G. Castonguay, Claire E. Cusack, Tim Dalgleish, Kim de Jong, Jaime Delgadillo, Robert J. DeRubeis, Ellen Driessen, Jill Ehrenreich-May, Aaron J. Fisher, Eiko I. Fried, Jessica Fritz, Toshi A. Furukawa, Claire M. Gillan, Juan Martín Gómez Penedo, Peter F. Hitchcock, Stefan G. Hofmann, Steven D. Hollon, Nicholas C. Jacobson, Daniel R. Karlin, Chi Tak Lee, Cheri A. Levinson, Lorenzo Lorenzo-Luaces, Riley McDanal, Danilo Moggia, Mei Yi Ng, Lesley A. Norris, Vikram Patel, Marilyn L. Piccirillo, Stephen Pilling, Julian A. Rubel, Gonzalo Salazar-de-Pablo, Rob Saunders, Jessica L. Schleider, Paula P. Schnurr, Stephen M. Schueller, Greg J. Siegle, Rudolf Uher, Ed Watkins, Christian A. Webb, Shannon Wiltsey Stirman, Laure Wynants, Soo Jeong Youn, Sigal Zilcha-Mano, Wolfgang Lutz, Zachary D. Cohen

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 6 11%
Student > Ph. D. Student 5 9%
Researcher 5 9%
Student > Master 4 8%
Other 3 6%
Other 11 21%
Unknown 19 36%
Readers by discipline Count As %
Psychology 15 28%
Unspecified 3 6%
Computer Science 2 4%
Arts and Humanities 1 2%
Nursing and Health Professions 1 2%
Other 6 11%
Unknown 25 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 29 August 2024.
All research outputs
#1,183,490
of 26,726,803 outputs
Outputs from Behaviour Research & Therapy
#225
of 2,756 outputs
Outputs of similar age
#20,210
of 402,099 outputs
Outputs of similar age from Behaviour Research & Therapy
#1
of 31 outputs
Altmetric has tracked 26,726,803 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,756 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has done particularly well, scoring higher than 91% 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 402,099 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 31 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 96% of its contemporaries.