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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic
Segmentation for Accurate Freespace Detection
|
|---|---|
| Chapter number | 21 |
| Book title |
Computer Vision – ECCV 2020
|
| Published in |
arXiv, August 2020
|
| DOI | 10.1007/978-3-030-58577-8_21 |
| Book ISBNs |
978-3-03-058576-1, 978-3-03-058577-8
|
| Authors |
Rui Fan, Hengli Wang, Peide Cai, Ming Liu, Fan, Rui, Wang, Hengli, Cai, Peide, Liu, Ming |
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% |
| Japan | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 168 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 18% |
| Student > Master | 26 | 15% |
| Researcher | 15 | 9% |
| Student > Doctoral Student | 5 | 3% |
| Student > Bachelor | 5 | 3% |
| Other | 11 | 7% |
| Unknown | 76 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 65 | 39% |
| Engineering | 16 | 10% |
| Economics, Econometrics and Finance | 1 | <1% |
| Mathematics | 1 | <1% |
| Medicine and Dentistry | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 83 | 49% |
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 27 August 2020.
All research outputs
#15,624,448
of 23,232,430 outputs
Outputs from arXiv
#381,216
of 957,890 outputs
Outputs of similar age
#248,570
of 399,261 outputs
Outputs of similar age from arXiv
#13,196
of 32,765 outputs
Altmetric has tracked 23,232,430 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 957,890 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% 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 399,261 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32,765 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 54% of its contemporaries.