| Title |
Multichannel social signatures and persistent features of ego networks
|
|---|---|
| Published in |
Applied Network Science, May 2018
|
| DOI | 10.1007/s41109-018-0065-4 |
| Pubmed ID | |
| Authors |
Sara Heydari, Sam G. Roberts, Robin I. M. Dunbar, Jari Saramäki |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 3 | 16% |
| Switzerland | 1 | 5% |
| Brazil | 1 | 5% |
| Canada | 1 | 5% |
| United Kingdom | 1 | 5% |
| Turkey | 1 | 5% |
| Unknown | 11 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 53% |
| Members of the public | 8 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
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 > Master | 5 | 19% |
| Researcher | 5 | 19% |
| Student > Bachelor | 3 | 11% |
| Professor | 3 | 11% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 19% |
| Social Sciences | 3 | 11% |
| Business, Management and Accounting | 2 | 7% |
| Psychology | 2 | 7% |
| Physics and Astronomy | 2 | 7% |
| Other | 5 | 19% |
| Unknown | 8 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 05 December 2023.
All research outputs
#2,503,418
of 25,837,817 outputs
Outputs from Applied Network Science
#65
of 584 outputs
Outputs of similar age
#49,923
of 348,370 outputs
Outputs of similar age from Applied Network Science
#2
of 13 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 584 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 88% 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 348,370 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 85% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.