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Timeline
Mendeley readers
Attention Score in Context
Chapter title |
A Study on Classification of Food Texture with Recurrent Neural Network
|
---|---|
Chapter number | 21 |
Book title |
Intelligent Robotics and Applications
|
Published in |
Lecture notes in computer science, August 2016
|
DOI | 10.1007/978-3-319-43506-0_21 |
Book ISBNs |
978-3-31-943505-3, 978-3-31-943506-0
|
Authors |
Shuhei Okada, Hiroyuki Nakamoto, Futoshi Kobayashi, Fumio Kojima, Okada, Shuhei, Nakamoto, Hiroyuki, Kobayashi, Futoshi, Kojima, Fumio |
Editors |
Naoyuki Kubota, Kazuo Kiguchi, Honghai Liu, Takenori Obo |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 100% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 1 | 100% |
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 05 December 2019.
All research outputs
#7,486,210
of 22,882,389 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,129 outputs
Outputs of similar age
#129,052
of 367,230 outputs
Outputs of similar age from Lecture notes in computer science
#128
of 487 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,129 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 54% 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 367,230 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 487 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 64% of its contemporaries.