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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Deep Impression: Audiovisual Deep Residual Networks for Multimodal
Apparent Personality Trait Recognition
|
---|---|
Chapter number | 28 |
Book title |
Computer Vision – ECCV 2016 Workshops
|
Published in |
arXiv, September 2016
|
DOI | 10.1007/978-3-319-49409-8_28 |
Book ISBNs |
978-3-31-949408-1, 978-3-31-949409-8
|
Authors |
Yağmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier |
Editors |
Gang Hua, Hervé Jégou |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 1% |
Switzerland | 1 | 1% |
Unknown | 73 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 28% |
Student > Master | 17 | 23% |
Researcher | 8 | 11% |
Student > Bachelor | 5 | 7% |
Other | 5 | 7% |
Other | 10 | 13% |
Unknown | 9 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 35 | 47% |
Engineering | 10 | 13% |
Psychology | 6 | 8% |
Neuroscience | 5 | 7% |
Business, Management and Accounting | 2 | 3% |
Other | 3 | 4% |
Unknown | 14 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 September 2016.
All research outputs
#13,414,068
of 22,908,162 outputs
Outputs from arXiv
#226,453
of 940,792 outputs
Outputs of similar age
#155,101
of 294,957 outputs
Outputs of similar age from arXiv
#3,251
of 15,688 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 940,792 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 75% 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 294,957 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15,688 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.