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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A survey on motion prediction and risk assessment for intelligent vehicles
|
|---|---|
| Published in |
ROBOMECH Journal, July 2014
|
| DOI | 10.1186/s40648-014-0001-z |
| Authors |
Stéphanie Lefèvre, Dizan Vasquez, Christian Laugier |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 766 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 760 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 197 | 26% |
| Student > Master | 175 | 23% |
| Researcher | 77 | 10% |
| Student > Bachelor | 38 | 5% |
| Student > Doctoral Student | 37 | 5% |
| Other | 57 | 7% |
| Unknown | 185 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 338 | 44% |
| Computer Science | 192 | 25% |
| Decision Sciences | 4 | <1% |
| Mathematics | 4 | <1% |
| Psychology | 3 | <1% |
| Other | 21 | 3% |
| Unknown | 204 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 23 November 2023.
All research outputs
#2,086,299
of 24,892,887 outputs
Outputs from ROBOMECH Journal
#3
of 73 outputs
Outputs of similar age
#20,515
of 234,187 outputs
Outputs of similar age from ROBOMECH Journal
#1
of 3 outputs
Altmetric has tracked 24,892,887 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 73 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 234,187 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 91% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them