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Mendeley readers
Attention Score in Context
Chapter title |
Recommendation in Reciprocal and Bipartite Social Networks–A Case Study of Online Dating
|
---|---|
Chapter number | 25 |
Book title |
Social Computing, Behavioral-Cultural Modeling and Prediction
|
Published in |
Lecture notes in computer science, April 2013
|
DOI | 10.1007/978-3-642-37210-0_25 |
Book ISBNs |
978-3-64-237209-4, 978-3-64-237210-0
|
Authors |
Mo Yu, Kang Zhao, John Yen, Derek Kreager |
Editors |
Ariel M. Greenberg, William G. Kennedy, Nathan D. Bos |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 9% |
United States | 1 | 5% |
United Kingdom | 1 | 5% |
Unknown | 18 | 82% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 27% |
Professor > Associate Professor | 3 | 14% |
Student > Bachelor | 2 | 9% |
Student > Ph. D. Student | 2 | 9% |
Professor | 1 | 5% |
Other | 2 | 9% |
Unknown | 6 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 36% |
Business, Management and Accounting | 3 | 14% |
Social Sciences | 2 | 9% |
Philosophy | 1 | 5% |
Mathematics | 1 | 5% |
Other | 1 | 5% |
Unknown | 6 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 07 December 2013.
All research outputs
#2,929,725
of 22,736,112 outputs
Outputs from Lecture notes in computer science
#637
of 8,126 outputs
Outputs of similar age
#25,496
of 199,832 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 41 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 91% 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 199,832 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 41 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 92% of its contemporaries.