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Mendeley readers
Attention Score in Context
Chapter title |
Survey of Improving Naive Bayes for Classification
|
---|---|
Chapter number | 14 |
Book title |
Advanced Data Mining and Applications
|
Published in |
Lecture notes in computer science, August 2007
|
DOI | 10.1007/978-3-540-73871-8_14 |
Book ISBNs |
978-3-54-073870-1, 978-3-54-073871-8
|
Authors |
Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 66 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 32% |
Student > Ph. D. Student | 8 | 12% |
Lecturer | 5 | 8% |
Student > Doctoral Student | 4 | 6% |
Student > Bachelor | 3 | 5% |
Other | 11 | 17% |
Unknown | 14 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 36 | 55% |
Engineering | 6 | 9% |
Unspecified | 2 | 3% |
Business, Management and Accounting | 1 | 2% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 2 | 3% |
Unknown | 18 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 July 2014.
All research outputs
#20,232,430
of 22,758,248 outputs
Outputs from Lecture notes in computer science
#6,982
of 8,126 outputs
Outputs of similar age
#64,794
of 67,160 outputs
Outputs of similar age from Lecture notes in computer science
#26
of 27 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 67,160 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.