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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Social influence and unfollowing accelerate the emergence of echo chambers
|
|---|---|
| Published in |
Journal of Computational Social Science, September 2020
|
| DOI | 10.1007/s42001-020-00084-7 |
| Authors |
Kazutoshi Sasahara, Wen Chen, Hao Peng, Giovanni Luca Ciampaglia, Alessandro Flammini, Filippo Menczer |
X Demographics
The data shown below were collected from the profiles of 102 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 | 15 | 15% |
| Japan | 9 | 9% |
| United Kingdom | 4 | 4% |
| Czechia | 4 | 4% |
| Netherlands | 3 | 3% |
| Spain | 3 | 3% |
| Belgium | 3 | 3% |
| Austria | 2 | 2% |
| Australia | 2 | 2% |
| Other | 15 | 15% |
| Unknown | 42 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 72 | 71% |
| Scientists | 24 | 24% |
| Science communicators (journalists, bloggers, editors) | 4 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 151 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 16% |
| Student > Master | 22 | 15% |
| Student > Bachelor | 15 | 10% |
| Professor > Associate Professor | 11 | 7% |
| Researcher | 8 | 5% |
| Other | 24 | 16% |
| Unknown | 47 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 17% |
| Social Sciences | 24 | 16% |
| Psychology | 9 | 6% |
| Business, Management and Accounting | 7 | 5% |
| Arts and Humanities | 5 | 3% |
| Other | 23 | 15% |
| Unknown | 57 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 427. 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 20 December 2023.
All research outputs
#69,002
of 25,870,142 outputs
Outputs from Journal of Computational Social Science
#2
of 155 outputs
Outputs of similar age
#2,307
of 428,351 outputs
Outputs of similar age from Journal of Computational Social Science
#1
of 11 outputs
Altmetric has tracked 25,870,142 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 155 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.3. This one has done particularly well, scoring higher than 98% 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 428,351 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 99% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.