You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles
|
|---|---|
| Chapter number | 2 |
| Book title |
Pattern Recognition
|
| Published in |
arXiv, November 2019
|
| DOI | 10.1007/978-981-15-3651-9_2 |
| Book ISBNs |
978-9-81-153650-2, 978-9-81-153651-9
|
| Authors |
Dong Cao, Lisha Xu, Cao, Dong, Xu, Lisha |
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 % |
|---|---|---|
| Nepal | 1 | 13% |
| Italy | 1 | 13% |
| Netherlands | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 14% |
| Student > Ph. D. Student | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Student > Postgraduate | 1 | 14% |
| Unknown | 3 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 29% |
| Engineering | 1 | 14% |
| Unknown | 4 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 01 December 2020.
All research outputs
#6,633,653
of 26,186,522 outputs
Outputs from arXiv
#106,196
of 976,446 outputs
Outputs of similar age
#131,685
of 482,958 outputs
Outputs of similar age from arXiv
#2,685
of 21,946 outputs
Altmetric has tracked 26,186,522 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 976,446 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 89% 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 482,958 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 72% of its contemporaries.
We're also able to compare this research output to 21,946 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.