| Title |
Defining user spectra to classify Ethereum users based on their behavior
|
|---|---|
| Published in |
Journal of Big Data, April 2022
|
| DOI | 10.1186/s40537-022-00586-3 |
| Authors |
Gianluca Bonifazi, Enrico Corradini, Domenico Ursino, Luca Virgili |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Italy | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 5% |
| Librarian | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Professor | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 11 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 16% |
| Business, Management and Accounting | 2 | 11% |
| Engineering | 2 | 11% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 53% |
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 08 July 2022.
All research outputs
#14,839,463
of 24,040,389 outputs
Outputs from Journal of Big Data
#193
of 363 outputs
Outputs of similar age
#211,534
of 431,052 outputs
Outputs of similar age from Journal of Big Data
#7
of 12 outputs
Altmetric has tracked 24,040,389 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 363 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 46th percentile – i.e., 46% 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 431,052 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 50% of its contemporaries.