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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Using Jaccard Distance Measure for Unsupervised Activity Recognition with Smartphone Accelerometers
|
---|---|
Chapter number | 8 |
Book title |
Web and Big Data
|
Published in |
Lecture notes in computer science, July 2017
|
DOI | 10.1007/978-3-319-69781-9_8 |
Book ISBNs |
978-3-31-969780-2, 978-3-31-969781-9
|
Authors |
Xianlong Wang, Yonggang Lu, Dachuan Wang, Li Liu, Huiyu Zhou, Wang, Xianlong, Lu, Yonggang, Wang, Dachuan, Liu, Li, Zhou, Huiyu |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 27% |
Student > Master | 2 | 13% |
Student > Bachelor | 2 | 13% |
Lecturer > Senior Lecturer | 1 | 7% |
Other | 1 | 7% |
Other | 3 | 20% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 33% |
Engineering | 5 | 33% |
Social Sciences | 1 | 7% |
Unspecified | 1 | 7% |
Unknown | 3 | 20% |
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 17 February 2018.
All research outputs
#20,462,806
of 23,020,670 outputs
Outputs from Lecture notes in computer science
#7,014
of 8,145 outputs
Outputs of similar age
#272,904
of 313,017 outputs
Outputs of similar age from Lecture notes in computer science
#107
of 118 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,145 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 313,017 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.