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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Deep Video Generation, Prediction and Completion of Human Action Sequences
|
|---|---|
| Chapter number | 23 |
| Book title |
Computer Vision – ECCV 2018
|
| Published in |
arXiv, September 2018
|
| DOI | 10.1007/978-3-030-01216-8_23 |
| Book ISBNs |
978-3-03-001215-1, 978-3-03-001216-8
|
| Authors |
Haoye Cai, Chunyan Bai, Yu-Wing Tai, Chi-Keung Tang, Cai, Haoye, Bai, Chunyan, Tai, Yu-Wing, Tang, Chi-Keung |
X Demographics
The data shown below were collected from the profiles of 8 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 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 281 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 80 | 28% |
| Student > Master | 45 | 16% |
| Researcher | 21 | 7% |
| Student > Bachelor | 16 | 6% |
| Student > Doctoral Student | 10 | 4% |
| Other | 22 | 8% |
| Unknown | 87 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 154 | 55% |
| Engineering | 19 | 7% |
| Agricultural and Biological Sciences | 3 | 1% |
| Neuroscience | 3 | 1% |
| Physics and Astronomy | 2 | <1% |
| Other | 7 | 2% |
| Unknown | 93 | 33% |
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 11 December 2017.
All research outputs
#14,037,191
of 24,002,307 outputs
Outputs from arXiv
#223,929
of 1,011,770 outputs
Outputs of similar age
#170,171
of 339,604 outputs
Outputs of similar age from arXiv
#6,432
of 24,367 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 76% 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 339,604 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,367 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 71% of its contemporaries.