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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Real-Time Prediction of Blood Alcohol Content Using Smartwatch Sensor Data
|
|---|---|
| Chapter number | 16 |
| Book title |
Smart Health
|
| Published in |
Lecture notes in computer science, November 2015
|
| DOI | 10.1007/978-3-319-29175-8_16 |
| Book ISBNs |
978-3-31-929174-1, 978-3-31-929175-8
|
| Authors |
Mario A. Gutierrez, Michelle L. Fast, Anne H. Ngu, Byron J. Gao |
| Editors |
Xiaolong Zheng, Daniel Dajun Zeng, Hsinchun Chen, Scott J. Leischow |
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 % |
|---|---|---|
| United Kingdom | 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 11% |
| Student > Bachelor | 3 | 11% |
| Librarian | 2 | 7% |
| Researcher | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Other | 5 | 19% |
| Unknown | 10 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 26% |
| Engineering | 3 | 11% |
| Medicine and Dentistry | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 10 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 January 2016.
All research outputs
#14,718,998
of 23,577,654 outputs
Outputs from Lecture notes in computer science
#4,341
of 8,151 outputs
Outputs of similar age
#205,738
of 390,044 outputs
Outputs of similar age from Lecture notes in computer science
#342
of 502 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 390,044 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 502 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.