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Mendeley readers
Attention Score in Context
Chapter title |
P2P Lending Analysis Using the Most Relevant Graph-Based Features
|
---|---|
Chapter number | 1 |
Book title |
Structural, Syntactic, and Statistical Pattern Recognition
|
Published in |
Lecture notes in computer science, November 2016
|
DOI | 10.1007/978-3-319-49055-7_1 |
Book ISBNs |
978-3-31-949054-0, 978-3-31-949055-7
|
Authors |
Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock, Cui, Lixin, Bai, Lu, Wang, Yue, Bai, Xiao, Zhang, Zhihong, Hancock, Edwin R. |
Editors |
Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard Wilson |
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 % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 19% |
Professor | 4 | 19% |
Student > Doctoral Student | 2 | 10% |
Lecturer | 1 | 5% |
Other | 1 | 5% |
Other | 4 | 19% |
Unknown | 5 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 43% |
Business, Management and Accounting | 5 | 24% |
Mathematics | 1 | 5% |
Decision Sciences | 1 | 5% |
Unknown | 5 | 24% |
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 11 March 2021.
All research outputs
#8,588,429
of 25,506,250 outputs
Outputs from Lecture notes in computer science
#2,549
of 8,164 outputs
Outputs of similar age
#119,003
of 317,793 outputs
Outputs of similar age from Lecture notes in computer science
#122
of 369 outputs
Altmetric has tracked 25,506,250 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,164 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 gotten more attention than average, scoring higher than 53% 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 317,793 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 369 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 55% of its contemporaries.