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 |
Low-Cost Vehicle Driver Assistance System for Fatigue and Distraction Detection
|
|---|---|
| Chapter number | 7 |
| Book title |
Future Intelligent Vehicular Technologies
|
| Published in |
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, January 2017
|
| DOI | 10.1007/978-3-319-51207-5_7 |
| Book ISBNs |
978-3-31-951206-8, 978-3-31-951207-5, 978-3-31-951206-8, 978-3-31-951207-5
|
| Authors |
Sandra Sendra, Laura Garcia, Jose M. Jimenez, Jaime Lloret, Sendra, Sandra, García-García, Laura, Jimenez, Jose M., Lloret, Jaime, Laura García-García |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 18% |
| Student > Bachelor | 2 | 18% |
| Other | 1 | 9% |
| Researcher | 1 | 9% |
| Student > Postgraduate | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 27% |
| Psychology | 2 | 18% |
| Computer Science | 1 | 9% |
| Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 06 June 2017.
All research outputs
#3,831,270
of 25,992,468 outputs
Outputs from Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
#1
of 1 outputs
Outputs of similar age
#71,262
of 426,422 outputs
Outputs of similar age from Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one scored the same or higher as 0 of them.
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 426,422 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 1 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