| Title |
Privacy-by-design in big data analytics and social mining
|
|---|---|
| Published in |
EPJ Data Science, September 2014
|
| DOI | 10.1140/epjds/s13688-014-0010-4 |
| Authors |
Anna Monreale, Salvatore Rinzivillo, Francesca Pratesi, Fosca Giannotti, Dino Pedreschi |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 29% |
| United States | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 1% |
| Malaysia | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| France | 1 | <1% |
| Sri Lanka | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 132 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 31 | 22% |
| Student > Ph. D. Student | 25 | 18% |
| Researcher | 13 | 9% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 7 | 5% |
| Other | 23 | 17% |
| Unknown | 30 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 58 | 42% |
| Business, Management and Accounting | 12 | 9% |
| Social Sciences | 7 | 5% |
| Engineering | 7 | 5% |
| Arts and Humanities | 5 | 4% |
| Other | 18 | 13% |
| Unknown | 32 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 2019.
All research outputs
#7,249,076
of 25,837,817 outputs
Outputs from EPJ Data Science
#347
of 456 outputs
Outputs of similar age
#70,946
of 265,753 outputs
Outputs of similar age from EPJ Data Science
#9
of 15 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.7. This one is in the 23rd percentile – i.e., 23% 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 265,753 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.