| Title |
Detecting problematic transactions in a consumer-to-consumer e-commerce network
|
|---|---|
| Published in |
Applied Network Science, November 2020
|
| DOI | 10.1007/s41109-020-00330-x |
| Authors |
Shun Kodate, Ryusuke Chiba, Shunya Kimura, Naoki Masuda |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 36% |
| Canada | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 13% |
| Other | 4 | 7% |
| Researcher | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 26 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 13% |
| Engineering | 4 | 7% |
| Business, Management and Accounting | 4 | 7% |
| Physics and Astronomy | 3 | 6% |
| Social Sciences | 3 | 6% |
| Other | 6 | 11% |
| Unknown | 27 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 14 February 2021.
All research outputs
#4,160,941
of 25,385,509 outputs
Outputs from Applied Network Science
#115
of 582 outputs
Outputs of similar age
#90,578
of 412,977 outputs
Outputs of similar age from Applied Network Science
#6
of 27 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done well, scoring higher than 80% 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 412,977 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
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 has done well, scoring higher than 77% of its contemporaries.