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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High Gamma Band EEG Closely Related to Emotion: Evidence From Functional Network
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, March 2020
|
| DOI | 10.3389/fnhum.2020.00089 |
| Pubmed ID | |
| Authors |
Kai Yang, Li Tong, Jun Shu, Ning Zhuang, Bin Yan, Ying Zeng |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Canada | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 13% |
| Student > Ph. D. Student | 11 | 11% |
| Student > Doctoral Student | 9 | 9% |
| Researcher | 9 | 9% |
| Student > Bachelor | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 43 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 12% |
| Engineering | 11 | 11% |
| Computer Science | 11 | 11% |
| Psychology | 10 | 10% |
| Unspecified | 5 | 5% |
| Other | 10 | 10% |
| Unknown | 45 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 19 January 2022.
All research outputs
#2,129,408
of 24,546,092 outputs
Outputs from Frontiers in Human Neuroscience
#996
of 7,500 outputs
Outputs of similar age
#49,687
of 371,123 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#16
of 139 outputs
Altmetric has tracked 24,546,092 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,500 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. 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 371,123 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 86% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.