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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
User-Driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities
|
---|---|
Chapter number | 43 |
Book title |
Advances in Information and Communication Networks
|
Published in |
arXiv, April 2018
|
DOI | 10.1007/978-3-030-03402-3_43 |
Book ISBNs |
978-3-03-003401-6, 978-3-03-003402-3
|
Authors |
S. Stirenko, Yu. Gordienko, T. Shemsedinov, O. Alienin, Yu. Kochura, N. Gordienko, A. Rojbi, J. R. López Benito, E. Artetxe González, Peng Gang, Jiang Hui |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 1% |
Unknown | 78 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 20% |
Student > Ph. D. Student | 13 | 16% |
Lecturer | 5 | 6% |
Student > Bachelor | 5 | 6% |
Student > Doctoral Student | 5 | 6% |
Other | 13 | 16% |
Unknown | 22 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 22% |
Engineering | 16 | 20% |
Neuroscience | 5 | 6% |
Social Sciences | 4 | 5% |
Medicine and Dentistry | 4 | 5% |
Other | 9 | 11% |
Unknown | 24 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 23 June 2019.
All research outputs
#6,094,886
of 22,965,074 outputs
Outputs from arXiv
#127,418
of 942,140 outputs
Outputs of similar age
#107,198
of 329,453 outputs
Outputs of similar age from arXiv
#3,061
of 22,394 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 942,140 research outputs from this source. They receive a mean Attention Score of 3.9. 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 329,453 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 22,394 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.