| Title |
Predicting links in ego-networks using temporal information
|
|---|---|
| Published in |
EPJ Data Science, January 2016
|
| DOI | 10.1140/epjds/s13688-015-0062-0 |
| Authors |
Lionel Tabourier, Anne-Sophie Libert, Renaud Lambiotte |
X Demographics
The data shown below were collected from the profiles of 18 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 | 3 | 17% |
| Austria | 1 | 6% |
| France | 1 | 6% |
| Italy | 1 | 6% |
| United Kingdom | 1 | 6% |
| Ireland | 1 | 6% |
| Unknown | 10 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 50% |
| Scientists | 7 | 39% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Netherlands | 1 | 2% |
| Sri Lanka | 1 | 2% |
| France | 1 | 2% |
| Unknown | 41 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 27% |
| Researcher | 7 | 16% |
| Professor > Associate Professor | 6 | 13% |
| Student > Master | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 33% |
| Physics and Astronomy | 7 | 16% |
| Mathematics | 5 | 11% |
| Engineering | 4 | 9% |
| Social Sciences | 4 | 9% |
| Other | 3 | 7% |
| Unknown | 7 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 19 June 2016.
All research outputs
#3,052,312
of 23,577,654 outputs
Outputs from EPJ Data Science
#229
of 386 outputs
Outputs of similar age
#53,563
of 397,196 outputs
Outputs of similar age from EPJ Data Science
#6
of 7 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 386 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.3. This one is in the 40th percentile – i.e., 40% 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 397,196 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 86% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.