| Title |
Dark Web Marketplaces and COVID-19: before the vaccine
|
|---|---|
| Published in |
EPJ Data Science, January 2021
|
| DOI | 10.1140/epjds/s13688-021-00259-w |
| Pubmed ID | |
| Authors |
Alberto Bracci, Matthieu Nadini, Maxwell Aliapoulios, Damon McCoy, Ian Gray, Alexander Teytelboym, Angela Gallo, Andrea Baronchelli |
X Demographics
The data shown below were collected from the profiles of 74 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 10 | 14% |
| United Kingdom | 10 | 14% |
| United States | 5 | 7% |
| Italy | 4 | 5% |
| Denmark | 2 | 3% |
| Switzerland | 2 | 3% |
| Spain | 2 | 3% |
| Austria | 1 | 1% |
| Brazil | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 37 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 48 | 65% |
| Scientists | 23 | 31% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 10% |
| Researcher | 10 | 8% |
| Student > Bachelor | 10 | 8% |
| Other | 8 | 7% |
| Lecturer > Senior Lecturer | 8 | 7% |
| Other | 27 | 23% |
| Unknown | 44 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 11% |
| Nursing and Health Professions | 9 | 8% |
| Medicine and Dentistry | 7 | 6% |
| Social Sciences | 7 | 6% |
| Business, Management and Accounting | 6 | 5% |
| Other | 30 | 25% |
| Unknown | 47 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 174. 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 18 November 2022.
All research outputs
#232,284
of 25,387,668 outputs
Outputs from EPJ Data Science
#11
of 440 outputs
Outputs of similar age
#6,874
of 523,525 outputs
Outputs of similar age from EPJ Data Science
#1
of 13 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.8. This one has done particularly well, scoring higher than 97% 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 523,525 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 98% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.