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An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning

Overview of attention for article published in Computational Social Networks, November 2019
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Mentioned by

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1 Facebook page

Citations

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24 Dimensions

Readers on

mendeley
51 Mendeley
Title
An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning
Published in
Computational Social Networks, November 2019
DOI 10.1186/s40649-019-0071-4
Authors

Han Hu, NhatHai Phan, Soon A. Chun, James Geller, Huy Vo, Xinyue Ye, Ruoming Jin, Kele Ding, Deric Kenne, Dejing Dou

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 10%
Student > Doctoral Student 5 10%
Researcher 4 8%
Student > Bachelor 4 8%
Other 3 6%
Other 11 22%
Unknown 19 37%
Readers by discipline Count As %
Computer Science 7 14%
Engineering 4 8%
Medicine and Dentistry 3 6%
Nursing and Health Professions 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 8 16%
Unknown 25 49%
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 28 February 2020.
All research outputs
#20,608,970
of 23,197,711 outputs
Outputs from Computational Social Networks
#39
of 40 outputs
Outputs of similar age
#310,962
of 366,180 outputs
Outputs of similar age from Computational Social Networks
#4
of 4 outputs
Altmetric has tracked 23,197,711 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 40 research outputs from this source. They receive a mean Attention Score of 3.9. This one scored the same or higher as 1 of them.
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 366,180 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 4 others from the same source and published within six weeks on either side of this one.