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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Voxel-level comparison of arterial spin-labeled perfusion magnetic resonance imaging in adolescents with internet gaming addiction
|
|---|---|
| Published in |
Behavioral and Brain Functions, August 2013
|
| DOI | 10.1186/1744-9081-9-33 |
| Pubmed ID | |
| Authors |
Qi Feng, Xue Chen, Jinhua Sun, Yan Zhou, Yawen Sun, Weina Ding, Yong Zhang, Zhiguo Zhuang, Jianrong Xu, Yasong Du |
| Abstract |
Although recent studies have clearly demonstrated functional and structural abnormalities in adolescents with internet gaming addiction (IGA), less is known about how IGA affects perfusion in the human brain. We used pseudocontinuous arterial spin-labeling (ASL) perfusion functional magnetic resonance imaging (fMRI) to measure the effects of IGA on resting brain functions by comparing resting cerebral blood flow in adolescents with IGA and normal subjects. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| Sweden | 1 | <1% |
| Israel | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 159 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 15% |
| Student > Ph. D. Student | 23 | 14% |
| Student > Bachelor | 21 | 13% |
| Student > Master | 20 | 12% |
| Student > Doctoral Student | 13 | 8% |
| Other | 32 | 19% |
| Unknown | 32 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 53 | 32% |
| Medicine and Dentistry | 34 | 20% |
| Neuroscience | 15 | 9% |
| Engineering | 5 | 3% |
| Nursing and Health Professions | 4 | 2% |
| Other | 17 | 10% |
| Unknown | 38 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 16 March 2020.
All research outputs
#2,255,969
of 22,757,090 outputs
Outputs from Behavioral and Brain Functions
#51
of 391 outputs
Outputs of similar age
#20,474
of 197,364 outputs
Outputs of similar age from Behavioral and Brain Functions
#1
of 4 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 391 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done well, scoring higher than 86% of its peers.
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 197,364 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
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. This one has scored higher than all of them