| Title |
Quantifying echo chamber effects in information spreading over political communication networks
|
|---|---|
| Published in |
EPJ Data Science, December 2019
|
| DOI | 10.1140/epjds/s13688-019-0213-9 |
| Authors |
Wesley Cota, Silvio C. Ferreira, Romualdo Pastor-Satorras, Michele Starnini |
X Demographics
The data shown below were collected from the profiles of 86 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 Kingdom | 9 | 10% |
| United States | 9 | 10% |
| Brazil | 6 | 7% |
| Spain | 5 | 6% |
| France | 4 | 5% |
| Italy | 3 | 3% |
| Canada | 2 | 2% |
| Germany | 2 | 2% |
| Switzerland | 1 | 1% |
| Other | 7 | 8% |
| Unknown | 38 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 52 | 60% |
| Scientists | 32 | 37% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 168 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 15% |
| Student > Master | 26 | 15% |
| Researcher | 16 | 10% |
| Student > Doctoral Student | 13 | 8% |
| Professor > Associate Professor | 12 | 7% |
| Other | 37 | 22% |
| Unknown | 38 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 27 | 16% |
| Computer Science | 26 | 15% |
| Physics and Astronomy | 14 | 8% |
| Psychology | 10 | 6% |
| Business, Management and Accounting | 8 | 5% |
| Other | 35 | 21% |
| Unknown | 48 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 64. 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 December 2023.
All research outputs
#676,060
of 25,732,188 outputs
Outputs from EPJ Data Science
#48
of 457 outputs
Outputs of similar age
#16,223
of 480,252 outputs
Outputs of similar age from EPJ Data Science
#1
of 9 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 457 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.7. This one has done well, scoring higher than 89% 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 480,252 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 96% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them