| Title |
Estimating tie strength in social networks using temporal communication data
|
|---|---|
| Published in |
EPJ Data Science, December 2020
|
| DOI | 10.1140/epjds/s13688-020-00256-5 |
| Authors |
Javier Ureña-Carrion, Jari Saramäki, Mikko Kivelä |
X Demographics
The data shown below were collected from the profiles of 21 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 | 4 | 19% |
| United States | 3 | 14% |
| France | 2 | 10% |
| Spain | 1 | 5% |
| Canada | 1 | 5% |
| Brazil | 1 | 5% |
| Norway | 1 | 5% |
| Argentina | 1 | 5% |
| Unknown | 7 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 52% |
| Members of the public | 9 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 30% |
| Researcher | 3 | 15% |
| Student > Bachelor | 3 | 15% |
| Lecturer | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 5 | 25% |
| Computer Science | 5 | 25% |
| Engineering | 2 | 10% |
| Business, Management and Accounting | 1 | 5% |
| Mathematics | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 2 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 17 January 2021.
All research outputs
#2,800,191
of 26,017,215 outputs
Outputs from EPJ Data Science
#230
of 455 outputs
Outputs of similar age
#73,814
of 528,432 outputs
Outputs of similar age from EPJ Data Science
#6
of 11 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.4. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 528,432 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 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.