| Title |
A Multi-Level Geographical Study of Italian Political Elections from Twitter Data
|
|---|---|
| Published in |
PLOS ONE, May 2014
|
| DOI | 10.1371/journal.pone.0095809 |
| Pubmed ID | |
| Authors |
Guido Caldarelli, Alessandro Chessa, Fabio Pammolli, Gabriele Pompa, Michelangelo Puliga, Massimo Riccaboni, Gianni Riotta |
X Demographics
The data shown below were collected from the profiles of 122 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 | 36 | 30% |
| United Kingdom | 8 | 7% |
| United States | 7 | 6% |
| Spain | 3 | 2% |
| Switzerland | 1 | <1% |
| Denmark | 1 | <1% |
| Nicaragua | 1 | <1% |
| India | 1 | <1% |
| Ecuador | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 60 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 94 | 77% |
| Scientists | 16 | 13% |
| Science communicators (journalists, bloggers, editors) | 11 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 5 | 6% |
| Switzerland | 2 | 2% |
| United Kingdom | 1 | 1% |
| Denmark | 1 | 1% |
| Spain | 1 | 1% |
| Venezuela, Bolivarian Republic of | 1 | 1% |
| Unknown | 75 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 29% |
| Researcher | 13 | 15% |
| Student > Master | 13 | 15% |
| Student > Bachelor | 6 | 7% |
| Professor | 4 | 5% |
| Other | 13 | 15% |
| Unknown | 12 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 18 | 21% |
| Computer Science | 14 | 16% |
| Physics and Astronomy | 9 | 10% |
| Economics, Econometrics and Finance | 5 | 6% |
| Medicine and Dentistry | 4 | 5% |
| Other | 19 | 22% |
| Unknown | 17 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 109. 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 August 2022.
All research outputs
#378,312
of 25,193,883 outputs
Outputs from PLOS ONE
#5,362
of 218,525 outputs
Outputs of similar age
#3,163
of 233,786 outputs
Outputs of similar age from PLOS ONE
#125
of 4,729 outputs
Altmetric has tracked 25,193,883 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 218,525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. 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 233,786 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 4,729 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 97% of its contemporaries.