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Influencing Factors and Machine Learning-Based Prediction of Side Effects in Psychotherapy

Overview of attention for article published in Frontiers in Psychiatry, December 2020
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

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10 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Influencing Factors and Machine Learning-Based Prediction of Side Effects in Psychotherapy
Published in
Frontiers in Psychiatry, December 2020
DOI 10.3389/fpsyt.2020.537442
Pubmed ID
Authors

Lijun Yao, Xudong Zhao, Zhiwei Xu, Yang Chen, Liang Liu, Qiang Feng, Fazhan Chen

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.
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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Researcher 5 14%
Student > Master 4 11%
Student > Bachelor 3 8%
Student > Doctoral Student 2 5%
Other 1 3%
Unknown 15 41%
Readers by discipline Count As %
Psychology 10 27%
Unspecified 2 5%
Nursing and Health Professions 2 5%
Medicine and Dentistry 2 5%
Computer Science 2 5%
Other 3 8%
Unknown 16 43%
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 04 January 2021.
All research outputs
#14,039,278
of 23,270,775 outputs
Outputs from Frontiers in Psychiatry
#4,410
of 10,377 outputs
Outputs of similar age
#254,560
of 509,367 outputs
Outputs of similar age from Frontiers in Psychiatry
#255
of 501 outputs
Altmetric has tracked 23,270,775 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 10,377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 56% 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 509,367 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 501 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.