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X Demographics
Mendeley readers
Attention Score in Context
| Title |
End-to-End Autonomous Driving With Semantic Depth Cloud Mapping and Multi-Agent
|
|---|---|
| Published in |
arXiv, June 2022
|
| DOI | 10.1109/tiv.2022.3185303 |
| Authors |
Oskar Natan, Jun Miura |
X Demographics
The data shown below were collected from the profiles of 15 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 | 2 | 13% |
| United Kingdom | 1 | 7% |
| China | 1 | 7% |
| United States | 1 | 7% |
| Japan | 1 | 7% |
| Unknown | 9 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Unknown | 13 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 23% |
| Computer Science | 4 | 15% |
| Psychology | 1 | 4% |
| Social Sciences | 1 | 4% |
| Decision Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 13 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 80. 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 29 February 2024.
All research outputs
#540,927
of 25,809,966 outputs
Outputs from arXiv
#6,520
of 936,811 outputs
Outputs of similar age
#13,922
of 446,440 outputs
Outputs of similar age from arXiv
#205
of 28,851 outputs
Altmetric has tracked 25,809,966 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 936,811 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 446,440 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 28,851 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.