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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
kNN Sampling for Personalised Human Activity Recognition
|
---|---|
Chapter number | 23 |
Book title |
Case-Based Reasoning Research and Development
|
Published in |
Lecture notes in computer science, June 2017
|
DOI | 10.1007/978-3-319-61030-6_23 |
Book ISBNs |
978-3-31-961029-0, 978-3-31-961030-6
|
Authors |
Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper |
X Demographics
The data shown below were collected from the profiles of 4 X users 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 % |
---|---|---|
Germany | 1 | 25% |
United Kingdom | 1 | 25% |
Netherlands | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
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 > Ph. D. Student | 5 | 19% |
Student > Master | 5 | 19% |
Student > Bachelor | 3 | 11% |
Professor > Associate Professor | 2 | 7% |
Other | 2 | 7% |
Other | 2 | 7% |
Unknown | 8 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 41% |
Engineering | 4 | 15% |
Nursing and Health Professions | 1 | 4% |
Medicine and Dentistry | 1 | 4% |
Unspecified | 1 | 4% |
Other | 0 | 0% |
Unknown | 9 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 July 2017.
All research outputs
#12,983,076
of 22,981,247 outputs
Outputs from Lecture notes in computer science
#3,787
of 8,145 outputs
Outputs of similar age
#149,738
of 316,843 outputs
Outputs of similar age from Lecture notes in computer science
#58
of 153 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 has gotten more attention than average, scoring higher than 53% 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 316,843 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 52% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.