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Mendeley readers
Attention Score in Context
| Title |
Multi-phase cycle coding for SSVEP based brain-computer interfaces
|
|---|---|
| Published in |
BioMedical Engineering OnLine, January 2015
|
| DOI | 10.1186/1475-925x-14-5 |
| Pubmed ID | |
| Authors |
Jijun Tong, Danhua Zhu |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 29 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 26% |
| Student > Master | 6 | 19% |
| Student > Bachelor | 4 | 13% |
| Researcher | 3 | 10% |
| Professor > Associate Professor | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 52% |
| Neuroscience | 5 | 16% |
| Social Sciences | 2 | 6% |
| Arts and Humanities | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 4 | 13% |
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 17 January 2015.
All research outputs
#21,152,264
of 23,804,991 outputs
Outputs from BioMedical Engineering OnLine
#711
of 843 outputs
Outputs of similar age
#300,811
of 356,475 outputs
Outputs of similar age from BioMedical Engineering OnLine
#27
of 30 outputs
Altmetric has tracked 23,804,991 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 843 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 356,475 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.