| Title |
Adaptive Fraud Detection
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, September 1997
|
| DOI | 10.1023/a:1009700419189 |
| Authors |
Tom Fawcett, Foster Provost |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kenya | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 486 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 1% |
| Germany | 5 | 1% |
| United Kingdom | 3 | <1% |
| India | 3 | <1% |
| France | 2 | <1% |
| Canada | 2 | <1% |
| Brazil | 2 | <1% |
| Australia | 2 | <1% |
| Belgium | 2 | <1% |
| Other | 11 | 2% |
| Unknown | 447 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 109 | 22% |
| Student > Ph. D. Student | 107 | 22% |
| Researcher | 52 | 11% |
| Student > Bachelor | 28 | 6% |
| Student > Doctoral Student | 21 | 4% |
| Other | 97 | 20% |
| Unknown | 72 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 217 | 45% |
| Business, Management and Accounting | 62 | 13% |
| Engineering | 32 | 7% |
| Economics, Econometrics and Finance | 31 | 6% |
| Social Sciences | 14 | 3% |
| Other | 47 | 10% |
| Unknown | 83 | 17% |
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 10 October 2023.
All research outputs
#3,414,665
of 25,371,288 outputs
Outputs from Data Mining and Knowledge Discovery
#47
of 637 outputs
Outputs of similar age
#1,973
of 28,406 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#3
of 3 outputs
Altmetric has tracked 25,371,288 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 637 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 92% 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 28,406 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.