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X Demographics
Mendeley readers
Attention Score in Context
| Title |
EEG biofeedback improves attentional bias in high trait anxiety individuals
|
|---|---|
| Published in |
BMC Neuroscience, October 2013
|
| DOI | 10.1186/1471-2202-14-115 |
| Pubmed ID | |
| Authors |
Sheng Wang, Yan Zhao, Sijuan Chen, Guiping Lin, Peng Sun, Tinghuai Wang |
| Abstract |
Emotion-related attentional bias is implicated in the aetiology and maintenance of anxiety disorders. Electroencephalogram (EEG) biofeedback can obviously improve the anxiety disorders and reduce stress level, and can also enhance attention performance in healthy subjects. The present study examined the effects and mechanisms of EEG biofeedback training on the attentional bias of high trait anxiety (HTA) individuals toward negative stimuli. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 40% |
| Canada | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Scientists | 1 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | <1% |
| Indonesia | 1 | <1% |
| Norway | 1 | <1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 124 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 21% |
| Student > Ph. D. Student | 21 | 16% |
| Student > Bachelor | 15 | 11% |
| Researcher | 14 | 11% |
| Student > Postgraduate | 7 | 5% |
| Other | 19 | 14% |
| Unknown | 28 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 42 | 32% |
| Neuroscience | 14 | 11% |
| Medicine and Dentistry | 13 | 10% |
| Engineering | 8 | 6% |
| Computer Science | 5 | 4% |
| Other | 18 | 14% |
| Unknown | 32 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 05 February 2018.
All research outputs
#3,859,035
of 23,881,329 outputs
Outputs from BMC Neuroscience
#166
of 1,265 outputs
Outputs of similar age
#34,814
of 211,941 outputs
Outputs of similar age from BMC Neuroscience
#3
of 50 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,265 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 87% 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 211,941 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 83% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.