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Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodology

Overview of attention for article published in Frontiers in Psychiatry, December 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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5 X users

Readers on

mendeley
38 Mendeley
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Title
Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodology
Published in
Frontiers in Psychiatry, December 2022
DOI 10.3389/fpsyt.2022.954703
Pubmed ID
Authors

Taishiro Kishimoto, Hironobu Nakamura, Yoshinobu Kano, Yoko Eguchi, Momoko Kitazawa, Kuo-ching Liang, Koki Kudo, Ayako Sento, Akihiro Takamiya, Toshiro Horigome, Toshihiko Yamasaki, Yuki Sunami, Toshiaki Kikuchi, Kazuki Nakajima, Masayuki Tomita, Shogyoku Bun, Yuki Momota, Kyosuke Sawada, Junichi Murakami, Hidehiko Takahashi, Masaru Mimura

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 16%
Student > Bachelor 5 13%
Student > Master 4 11%
Student > Ph. D. Student 2 5%
Other 2 5%
Other 3 8%
Unknown 16 42%
Readers by discipline Count As %
Medicine and Dentistry 5 13%
Psychology 4 11%
Agricultural and Biological Sciences 2 5%
Neuroscience 2 5%
Engineering 2 5%
Other 5 13%
Unknown 18 47%
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 26 March 2023.
All research outputs
#15,958,822
of 26,557,556 outputs
Outputs from Frontiers in Psychiatry
#5,381
of 13,228 outputs
Outputs of similar age
#223,705
of 506,484 outputs
Outputs of similar age from Frontiers in Psychiatry
#206
of 687 outputs
Altmetric has tracked 26,557,556 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,228 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has gotten more attention than average, scoring higher than 57% 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 506,484 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 53% of its contemporaries.
We're also able to compare this research output to 687 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.