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A Predictive Model Offor Attention Deficit Hyperactivity Disorder Based on Clinical Assessment Tools

Overview of attention for article published in Neuropsychiatric Disease and Treatment, May 2020
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Mentioned by

facebook
1 Facebook page

Citations

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2 Dimensions

Readers on

mendeley
29 Mendeley
Title
A Predictive Model Offor Attention Deficit Hyperactivity Disorder Based on Clinical Assessment Tools
Published in
Neuropsychiatric Disease and Treatment, May 2020
DOI 10.2147/ndt.s245636
Pubmed ID
Authors

Dai Han, Yantong Fang, Hong Luo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Student > Master 2 7%
Student > Doctoral Student 2 7%
Researcher 2 7%
Librarian 1 3%
Other 1 3%
Unknown 17 59%
Readers by discipline Count As %
Psychology 5 17%
Social Sciences 3 10%
Environmental Science 1 3%
Computer Science 1 3%
Nursing and Health Professions 1 3%
Other 2 7%
Unknown 16 55%
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 24 May 2020.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,583
of 3,131 outputs
Outputs of similar age
#354,989
of 410,102 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#42
of 68 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% 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 410,102 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.