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Algorithms to Predict Anxiety and Depression Among University Students in China After Analyzing Lifestyles and Sport Habits

Overview of attention for article published in Neuropsychiatric Disease and Treatment, June 2021
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
14 Mendeley
Title
Algorithms to Predict Anxiety and Depression Among University Students in China After Analyzing Lifestyles and Sport Habits
Published in
Neuropsychiatric Disease and Treatment, June 2021
DOI 10.2147/ndt.s315148
Pubmed ID
Authors

Lirong Zhang, Shaocong Zhao, Qiong Lin, Minmin Song, Shouren Wu, Hua Zheng

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 14%
Student > Master 2 14%
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Researcher 1 7%
Other 1 7%
Unknown 6 43%
Readers by discipline Count As %
Psychology 2 14%
Unspecified 1 7%
Computer Science 1 7%
Nursing and Health Professions 1 7%
Sports and Recreations 1 7%
Other 2 14%
Unknown 6 43%

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 10 August 2021.
All research outputs
#15,460,219
of 19,302,634 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,012
of 2,771 outputs
Outputs of similar age
#233,535
of 335,128 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#5
of 5 outputs
Altmetric has tracked 19,302,634 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,771 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 20th percentile – i.e., 20% 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 335,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.