Title |
Fraud detections for online businesses: a perspective from blockchain technology
|
---|---|
Published in |
Financial Innovation, December 2016
|
DOI | 10.1186/s40854-016-0039-4 |
Authors |
Yuanfeng Cai, Dan Zhu |
Mendeley readers
The data shown below were compiled from readership statistics for 435 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 435 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 89 | 20% |
Student > Bachelor | 52 | 12% |
Student > Ph. D. Student | 42 | 10% |
Researcher | 30 | 7% |
Lecturer | 25 | 6% |
Other | 75 | 17% |
Unknown | 122 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 105 | 24% |
Computer Science | 88 | 20% |
Engineering | 35 | 8% |
Economics, Econometrics and Finance | 34 | 8% |
Social Sciences | 14 | 3% |
Other | 34 | 8% |
Unknown | 125 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 26 June 2022.
All research outputs
#1,883,899
of 22,753,345 outputs
Outputs from Financial Innovation
#14
of 147 outputs
Outputs of similar age
#40,676
of 418,901 outputs
Outputs of similar age from Financial Innovation
#3
of 12 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 147 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 90% 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 418,901 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 90% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.