| Title |
KYC Optimization Using Distributed Ledger Technology
|
|---|---|
| Published in |
Business & Information Systems Engineering, November 2017
|
| DOI | 10.1007/s12599-017-0504-2 |
| Authors |
José Parra Moyano, Omri Ross |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Germany | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 331 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 331 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 90 | 27% |
| Student > Ph. D. Student | 47 | 14% |
| Student > Bachelor | 38 | 11% |
| Researcher | 20 | 6% |
| Student > Doctoral Student | 10 | 3% |
| Other | 32 | 10% |
| Unknown | 94 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 87 | 26% |
| Computer Science | 70 | 21% |
| Economics, Econometrics and Finance | 35 | 11% |
| Engineering | 14 | 4% |
| Social Sciences | 13 | 4% |
| Other | 17 | 5% |
| Unknown | 95 | 29% |
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 20 January 2022.
All research outputs
#3,504,898
of 24,453,338 outputs
Outputs from Business & Information Systems Engineering
#38
of 362 outputs
Outputs of similar age
#62,940
of 330,008 outputs
Outputs of similar age from Business & Information Systems Engineering
#4
of 7 outputs
Altmetric has tracked 24,453,338 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 362 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 89% 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 330,008 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 80% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.