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 |
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving
|
|---|---|
| Chapter number | 37 |
| Book title |
Developments in Language Theory
|
| Published in |
arXiv, August 2018
|
| DOI | 10.1007/978-3-319-99229-7_37 |
| Book ISBNs |
978-3-31-998653-1, 978-3-31-998654-8, 978-3-31-999228-0, 978-3-31-999229-7
|
| Authors |
Krzysztof Czarnecki, Rick Salay |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 8% |
| Canada | 1 | 8% |
| Australia | 1 | 8% |
| Ireland | 1 | 8% |
| Sweden | 1 | 8% |
| Unknown | 8 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 85% |
| Scientists | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 18% |
| Researcher | 9 | 15% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 19 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 28% |
| Engineering | 11 | 18% |
| Business, Management and Accounting | 2 | 3% |
| Psychology | 2 | 3% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 23 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 11 March 2019.
All research outputs
#4,836,836
of 25,711,518 outputs
Outputs from arXiv
#86,943
of 938,867 outputs
Outputs of similar age
#85,944
of 343,161 outputs
Outputs of similar age from arXiv
#2,224
of 18,770 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 938,867 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 90% 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 343,161 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 74% of its contemporaries.
We're also able to compare this research output to 18,770 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.