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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dense reinforcement learning for safety validation of autonomous vehicles
|
|---|---|
| Published in |
Nature, March 2023
|
| DOI | 10.1038/s41586-023-05732-2 |
| Pubmed ID | |
| Authors |
Shuo Feng, Haowei Sun, Xintao Yan, Haojie Zhu, Zhengxia Zou, Shengyin Shen, Henry X. Liu |
X Demographics
The data shown below were collected from the profiles of 41 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 | 7 | 17% |
| United Kingdom | 5 | 12% |
| China | 3 | 7% |
| Japan | 2 | 5% |
| Nigeria | 1 | 2% |
| Comoros | 1 | 2% |
| Brazil | 1 | 2% |
| Germany | 1 | 2% |
| Uganda | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 17 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 71% |
| Scientists | 8 | 20% |
| Science communicators (journalists, bloggers, editors) | 4 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 183 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 17% |
| Researcher | 16 | 9% |
| Student > Master | 12 | 7% |
| Student > Doctoral Student | 7 | 4% |
| Student > Bachelor | 6 | 3% |
| Other | 15 | 8% |
| Unknown | 96 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 40 | 22% |
| Computer Science | 23 | 13% |
| Mathematics | 3 | 2% |
| Decision Sciences | 3 | 2% |
| Agricultural and Biological Sciences | 2 | 1% |
| Other | 9 | 5% |
| Unknown | 103 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 153. 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 08 May 2024.
All research outputs
#275,433
of 25,864,668 outputs
Outputs from Nature
#15,266
of 98,942 outputs
Outputs of similar age
#6,667
of 426,307 outputs
Outputs of similar age from Nature
#330
of 1,079 outputs
Altmetric has tracked 25,864,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,942 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.8. This one has done well, scoring higher than 84% 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 426,307 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 98% of its contemporaries.
We're also able to compare this research output to 1,079 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 69% of its contemporaries.