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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
DNN-Buddies: A Deep Neural Network-Based Estimation Metric for the Jigsaw Puzzle Problem
|
---|---|
Chapter number | 21 |
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_21 |
Book ISBNs |
978-3-31-944780-3, 978-3-31-944781-0
|
Authors |
Dror Sholomon, Omid E. David, Nathan S. Netanyahu, Eli David |
Editors |
Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
Korea, Republic of | 1 | 10% |
Unknown | 7 | 70% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 90% |
Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 5% |
Unknown | 20 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 19% |
Student > Bachelor | 4 | 19% |
Student > Master | 4 | 19% |
Researcher | 2 | 10% |
Other | 1 | 5% |
Other | 0 | 0% |
Unknown | 6 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 43% |
Engineering | 2 | 10% |
Mathematics | 1 | 5% |
Chemistry | 1 | 5% |
Arts and Humanities | 1 | 5% |
Other | 0 | 0% |
Unknown | 7 | 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 29 November 2017.
All research outputs
#7,978,368
of 24,002,307 outputs
Outputs from Lecture notes in computer science
#2,502
of 8,172 outputs
Outputs of similar age
#128,898
of 360,456 outputs
Outputs of similar age from Lecture notes in computer science
#124
of 474 outputs
Altmetric has tracked 24,002,307 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 8,172 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 360,456 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 474 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 61% of its contemporaries.