| Title |
Self-regulatory information sharing in participatory social sensing
|
|---|---|
| Published in |
EPJ Data Science, April 2016
|
| DOI | 10.1140/epjds/s13688-016-0074-4 |
| Authors |
Evangelos Pournaras, Jovan Nikolic, Pablo Velásquez, Marcello Trovati, Nik Bessis, Dirk Helbing |
X Demographics
The data shown below were collected from the profiles of 17 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 | 3 | 18% |
| United States | 2 | 12% |
| United Kingdom | 2 | 12% |
| Argentina | 1 | 6% |
| Ireland | 1 | 6% |
| Singapore | 1 | 6% |
| Japan | 1 | 6% |
| Spain | 1 | 6% |
| France | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 53% |
| Scientists | 7 | 41% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 1% |
| Germany | 1 | 1% |
| France | 1 | 1% |
| Australia | 1 | 1% |
| Sri Lanka | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 61 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 27% |
| Researcher | 10 | 15% |
| Student > Master | 9 | 13% |
| Student > Doctoral Student | 4 | 6% |
| Lecturer > Senior Lecturer | 3 | 4% |
| Other | 13 | 19% |
| Unknown | 10 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 30 | 45% |
| Social Sciences | 9 | 13% |
| Business, Management and Accounting | 4 | 6% |
| Engineering | 4 | 6% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 6 | 9% |
| Unknown | 13 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 April 2016.
All research outputs
#4,334,332
of 25,998,826 outputs
Outputs from EPJ Data Science
#279
of 455 outputs
Outputs of similar age
#63,551
of 318,453 outputs
Outputs of similar age from EPJ Data Science
#15
of 15 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.4. This one is in the 38th percentile – i.e., 38% 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 318,453 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 79% 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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.