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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, October 2022
|
| DOI | 10.3389/fncom.2022.1046310 |
| Pubmed ID | |
| Authors |
Feng Zhao, Tianyu Gao, Zhi Cao, Xiaobo Chen, Yanyan Mao, Ning Mao, Yande Ren |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 20% |
| Student > Ph. D. Student | 2 | 20% |
| Student > Bachelor | 1 | 10% |
| Unknown | 5 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 1 | 10% |
| Computer Science | 1 | 10% |
| Psychology | 1 | 10% |
| Neuroscience | 1 | 10% |
| Unknown | 6 | 60% |
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 09 November 2022.
All research outputs
#17,966,331
of 23,072,295 outputs
Outputs from Frontiers in Computational Neuroscience
#966
of 1,358 outputs
Outputs of similar age
#288,215
of 442,858 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#18
of 44 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,358 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 22nd percentile – i.e., 22% 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 442,858 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.