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Mendeley readers
Attention Score in Context
Chapter title |
Detecting Fraud in Health Insurance Data: Learning to Model Incomplete Benford’s Law Distributions
|
---|---|
Chapter number | 63 |
Book title |
Machine Learning: ECML 2005
|
Published in |
Lecture notes in computer science, October 2005
|
DOI | 10.1007/11564096_63 |
Book ISBNs |
978-3-54-029243-2, 978-3-54-031692-3
|
Authors |
Fletcher Lu, J. Efrim Boritz, Lu, Fletcher, Boritz, J. Efrim |
Editors |
João Gama, Rui Camacho, Pavel B. Brazdil, Alípio Mário Jorge, Luís Torgo |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 1 | 2% |
Unknown | 41 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 31% |
Researcher | 4 | 10% |
Lecturer > Senior Lecturer | 3 | 7% |
Student > Postgraduate | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 8 | 19% |
Unknown | 9 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 31% |
Engineering | 4 | 10% |
Economics, Econometrics and Finance | 4 | 10% |
Business, Management and Accounting | 3 | 7% |
Social Sciences | 2 | 5% |
Other | 6 | 14% |
Unknown | 10 | 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 03 January 2023.
All research outputs
#7,464,917
of 22,821,814 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,125 outputs
Outputs of similar age
#20,488
of 59,178 outputs
Outputs of similar age from Lecture notes in computer science
#6
of 52 outputs
Altmetric has tracked 22,821,814 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 8,125 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 59,178 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.