| Title |
Susceptible-infected-spreading-based network embedding in static and temporal networks
|
|---|---|
| Published in |
EPJ Data Science, October 2020
|
| DOI | 10.1140/epjds/s13688-020-00248-5 |
| Authors |
Xiu-Xiu Zhan, Ziyu Li, Naoki Masuda, Petter Holme, Huijuan Wang |
X Demographics
The data shown below were collected from the profiles of 20 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 | 10% |
| United Kingdom | 1 | 5% |
| Norway | 1 | 5% |
| Russia | 1 | 5% |
| Brazil | 1 | 5% |
| Italy | 1 | 5% |
| China | 1 | 5% |
| India | 1 | 5% |
| Unknown | 11 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 50% |
| Scientists | 9 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 71% |
| Student > Doctoral Student | 3 | 43% |
| Professor > Associate Professor | 3 | 43% |
| Student > Ph. D. Student | 3 | 43% |
| Lecturer > Senior Lecturer | 1 | 14% |
| Other | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 5 | 71% |
| Computer Science | 5 | 71% |
| Engineering | 3 | 43% |
| Mathematics | 2 | 29% |
| Social Sciences | 1 | 14% |
| Other | 0 | 0% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 28 October 2020.
All research outputs
#2,979,949
of 25,387,668 outputs
Outputs from EPJ Data Science
#237
of 440 outputs
Outputs of similar age
#74,978
of 436,789 outputs
Outputs of similar age from EPJ Data Science
#5
of 9 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.8. This one is in the 46th percentile – i.e., 46% 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 436,789 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.