| Title |
Complex networks and public funding: the case of the 2007-2013 Italian program
|
|---|---|
| Published in |
EPJ Data Science, July 2015
|
| DOI | 10.1140/epjds/s13688-015-0047-z |
| Authors |
Stefano Nicotri, Eufemia Tinelli, Nicola Amoroso, Elena Garuccio, Roberto Bellotti |
X Demographics
The data shown below were collected from the profiles of 15 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 | 1 | 7% |
| Ireland | 1 | 7% |
| United States | 1 | 7% |
| Brazil | 1 | 7% |
| Unknown | 11 | 73% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 47% |
| Members of the public | 6 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
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 % |
|---|---|---|
| Italy | 1 | 5% |
| Unknown | 18 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 32% |
| Student > Master | 3 | 16% |
| Researcher | 3 | 16% |
| Professor | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Other | 1 | 5% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 5 | 26% |
| Computer Science | 4 | 21% |
| Mathematics | 3 | 16% |
| Arts and Humanities | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 3 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 01 September 2016.
All research outputs
#4,159,310
of 23,891,012 outputs
Outputs from EPJ Data Science
#265
of 392 outputs
Outputs of similar age
#50,150
of 264,609 outputs
Outputs of similar age from EPJ Data Science
#7
of 8 outputs
Altmetric has tracked 23,891,012 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.8. This one is in the 32nd percentile – i.e., 32% 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 264,609 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 81% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.