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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
|
---|---|
Chapter number | 35 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published in |
Lecture notes in computer science, January 2010
|
DOI | 10.1007/978-3-642-15939-8_35 |
Book ISBNs |
978-3-64-215938-1, 978-3-64-215939-8
|
Authors |
Erheng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, Jiangtao Ren, Zhong, Erheng, Fan, Wei, Yang, Qiang, Verscheure, Olivier, Ren, Jiangtao |
Editors |
José Luis Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 2 | 2% |
Spain | 1 | <1% |
France | 1 | <1% |
Singapore | 1 | <1% |
Unknown | 98 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 42 | 41% |
Student > Master | 16 | 16% |
Student > Bachelor | 7 | 7% |
Other | 5 | 5% |
Researcher | 4 | 4% |
Other | 13 | 13% |
Unknown | 16 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 56 | 54% |
Engineering | 15 | 15% |
Mathematics | 3 | 3% |
Chemistry | 3 | 3% |
Medicine and Dentistry | 2 | 2% |
Other | 4 | 4% |
Unknown | 20 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 July 2020.
All research outputs
#14,741,552
of 22,899,952 outputs
Outputs from Lecture notes in computer science
#4,481
of 8,128 outputs
Outputs of similar age
#133,408
of 164,231 outputs
Outputs of similar age from Lecture notes in computer science
#95
of 188 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,128 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 44th percentile – i.e., 44% 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 164,231 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.