| Title |
Big Data fraud detection using multiple medicare data sources
|
|---|---|
| Published in |
Journal of Big Data, September 2018
|
| DOI | 10.1186/s40537-018-0138-3 |
| Authors |
Matthew Herland, Taghi M. Khoshgoftaar, Richard A. Bauder |
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 % |
|---|---|---|
| Unknown | 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 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 201 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 14% |
| Student > Ph. D. Student | 25 | 12% |
| Researcher | 17 | 8% |
| Student > Doctoral Student | 15 | 7% |
| Student > Bachelor | 11 | 5% |
| Other | 23 | 11% |
| Unknown | 81 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 50 | 25% |
| Business, Management and Accounting | 19 | 9% |
| Engineering | 12 | 6% |
| Economics, Econometrics and Finance | 9 | 4% |
| Medicine and Dentistry | 6 | 3% |
| Other | 22 | 11% |
| Unknown | 83 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 September 2018.
All research outputs
#13,625,854
of 23,102,082 outputs
Outputs from Journal of Big Data
#161
of 344 outputs
Outputs of similar age
#171,168
of 335,392 outputs
Outputs of similar age from Journal of Big Data
#4
of 10 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 49th percentile – i.e., 49% 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 335,392 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.