| Title |
Fast filtering and animation of large dynamic networks
|
|---|---|
| Published in |
EPJ Data Science, October 2014
|
| DOI | 10.1140/epjds/s13688-014-0027-8 |
| Authors |
Przemyslaw A Grabowicz, Luca Maria Aiello, Filippo Menczer |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| Finland | 1 | 10% |
| Denmark | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 7% |
| Germany | 1 | 3% |
| Netherlands | 1 | 3% |
| Switzerland | 1 | 3% |
| China | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 22 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 28% |
| Researcher | 5 | 17% |
| Student > Master | 5 | 17% |
| Student > Postgraduate | 2 | 7% |
| Student > Bachelor | 1 | 3% |
| Other | 6 | 21% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 52% |
| Social Sciences | 4 | 14% |
| Business, Management and Accounting | 2 | 7% |
| Environmental Science | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 12 December 2016.
All research outputs
#4,081,638
of 24,387,992 outputs
Outputs from EPJ Data Science
#262
of 403 outputs
Outputs of similar age
#45,184
of 265,232 outputs
Outputs of similar age from EPJ Data Science
#9
of 15 outputs
Altmetric has tracked 24,387,992 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 403 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.8. This one is in the 34th percentile – i.e., 34% 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 265,232 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 82% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.