| Title |
A data-driven network approach for characterization of political parties’ ideology dynamics
|
|---|---|
| Published in |
Applied Network Science, July 2019
|
| DOI | 10.1007/s41109-019-0161-0 |
| Authors |
Josemar Faustino, Hugo Barbosa, Eraldo Ribeiro, Ronaldo Menezes |
X Demographics
The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 12% |
| Ecuador | 3 | 9% |
| India | 2 | 6% |
| Portugal | 1 | 3% |
| France | 1 | 3% |
| Germany | 1 | 3% |
| Italy | 1 | 3% |
| Brazil | 1 | 3% |
| Canada | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 18 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 50% |
| Members of the public | 15 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 19% |
| Researcher | 4 | 15% |
| Student > Master | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Lecturer > Senior Lecturer | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 19% |
| Arts and Humanities | 4 | 15% |
| Social Sciences | 4 | 15% |
| Mathematics | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 15 August 2019.
All research outputs
#1,687,742
of 25,816,430 outputs
Outputs from Applied Network Science
#36
of 587 outputs
Outputs of similar age
#34,972
of 360,665 outputs
Outputs of similar age from Applied Network Science
#7
of 39 outputs
Altmetric has tracked 25,816,430 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done particularly well, scoring higher than 93% 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 360,665 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 90% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.