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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Analysis of Dropout Learning Regarded as Ensemble Learning
|
---|---|
Chapter number | 9 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2016
|
Published in |
Lecture notes in computer science, August 2016
|
DOI | 10.1007/978-3-319-44781-0_9 |
Book ISBNs |
978-3-31-944780-3, 978-3-31-944781-0
|
Authors |
Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno, Hara, Kazuyuki, Saitoh, Daisuke, Shouno, Hayaru |
Editors |
Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 16% |
Japan | 5 | 16% |
Italy | 1 | 3% |
Turkey | 1 | 3% |
Switzerland | 1 | 3% |
Denmark | 1 | 3% |
Canada | 1 | 3% |
India | 1 | 3% |
Unknown | 15 | 48% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 21 | 68% |
Scientists | 10 | 32% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 70 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 21% |
Student > Master | 10 | 14% |
Student > Bachelor | 7 | 10% |
Professor > Associate Professor | 7 | 10% |
Researcher | 6 | 9% |
Other | 9 | 13% |
Unknown | 16 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 35 | 50% |
Engineering | 8 | 11% |
Agricultural and Biological Sciences | 2 | 3% |
Unspecified | 1 | 1% |
Environmental Science | 1 | 1% |
Other | 5 | 7% |
Unknown | 18 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 09 February 2024.
All research outputs
#1,626,551
of 25,463,724 outputs
Outputs from Lecture notes in computer science
#236
of 8,163 outputs
Outputs of similar age
#29,713
of 368,112 outputs
Outputs of similar age from Lecture notes in computer science
#14
of 466 outputs
Altmetric has tracked 25,463,724 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 97% 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 368,112 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 466 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.