| Title |
GraphSIF: analyzing flow of payments in a Business-to-Business network to detect supplier impersonation
|
|---|---|
| Published in |
Applied Network Science, July 2020
|
| DOI | 10.1007/s41109-020-00283-1 |
| Authors |
Rémi Canillas, Omar Hasan, Laurent Sarrat, Lionel Brunie |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
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 > Master | 3 | 14% |
| Other | 2 | 10% |
| Student > Ph. D. Student | 2 | 10% |
| Unspecified | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 29% |
| Business, Management and Accounting | 1 | 5% |
| Unspecified | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Economics, Econometrics and Finance | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 52% |
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 22 July 2020.
All research outputs
#18,734,471
of 23,221,875 outputs
Outputs from Applied Network Science
#468
of 512 outputs
Outputs of similar age
#301,775
of 399,845 outputs
Outputs of similar age from Applied Network Science
#34
of 35 outputs
Altmetric has tracked 23,221,875 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 2nd percentile – i.e., 2% 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 399,845 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 35 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.