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Development and Internal Validation of a Model for Predicting Internet Gaming Disorder Risk in Adolescents and Children

Overview of attention for article published in Frontiers in Psychiatry, June 2022
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Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

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23 Mendeley
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Title
Development and Internal Validation of a Model for Predicting Internet Gaming Disorder Risk in Adolescents and Children
Published in
Frontiers in Psychiatry, June 2022
DOI 10.3389/fpsyt.2022.873033
Pubmed ID
Authors

Jiangyue Hong, Jinghan Wang, Wei Qu, Haitao Chen, Jiaqi Song, Meng Zhang, Yanli Zhao, Shuping Tan

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 4 17%
Student > Ph. D. Student 3 13%
Unspecified 2 9%
Student > Doctoral Student 2 9%
Student > Bachelor 1 4%
Other 3 13%
Unknown 8 35%
Readers by discipline Count As %
Nursing and Health Professions 4 17%
Psychology 4 17%
Unspecified 2 9%
Medicine and Dentistry 2 9%
Business, Management and Accounting 1 4%
Other 2 9%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 June 2022.
All research outputs
#18,801,761
of 23,964,824 outputs
Outputs from Frontiers in Psychiatry
#6,771
of 11,194 outputs
Outputs of similar age
#301,967
of 432,445 outputs
Outputs of similar age from Frontiers in Psychiatry
#431
of 887 outputs
Altmetric has tracked 23,964,824 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,194 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 432,445 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 887 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.