↓ Skip to main content

Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China

Overview of attention for article published in BMC Public Health, December 2012
Altmetric Badge

Mentioned by

twitter
3 X users

Readers on

mendeley
196 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China
Published in
BMC Public Health, December 2012
DOI 10.1186/1471-2458-12-1106
Pubmed ID
Authors

Jian Xu, Li-xiao Shen, Chong-huai Yan, Howard Hu, Fang Yang, Lu Wang, Sudha Rani Kotha, Li-na Zhang, Xiang-peng Liao, Jun Zhang, Feng-xiu Ouyang, Jin-song Zhang, Xiao-ming Shen

Abstract

Paralleling the rapid growth in computers and internet connections, adolescent internet addiction (AIA) is becoming an increasingly serious problem, especially in developing countries. This study aims to explore the prevalence of AIA and associated symptoms in a large population-based sample in Shanghai and identify potential predictors related to personal characteristics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Greece 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 192 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 15%
Student > Bachelor 23 12%
Student > Ph. D. Student 21 11%
Researcher 16 8%
Lecturer 13 7%
Other 44 22%
Unknown 49 25%
Readers by discipline Count As %
Psychology 45 23%
Medicine and Dentistry 39 20%
Nursing and Health Professions 21 11%
Social Sciences 15 8%
Agricultural and Biological Sciences 5 3%
Other 20 10%
Unknown 51 26%
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 December 2012.
All research outputs
#15,258,711
of 22,689,790 outputs
Outputs from BMC Public Health
#11,263
of 14,764 outputs
Outputs of similar age
#181,281
of 280,229 outputs
Outputs of similar age from BMC Public Health
#231
of 292 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,764 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 16th percentile – i.e., 16% 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 280,229 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 292 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.