| Title |
Effective and scalable methods for graph protection strategies against epidemics on dynamic networks
|
|---|---|
| Published in |
Applied Network Science, April 2019
|
| DOI | 10.1007/s41109-019-0122-7 |
| Authors |
Arie Wahyu Wijayanto, Tsuyoshi Murata |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 22% |
| Student > Master | 3 | 13% |
| Researcher | 3 | 13% |
| Lecturer | 1 | 4% |
| Professor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 30% |
| Engineering | 5 | 22% |
| Physics and Astronomy | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 4% |
| Unknown | 8 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 April 2019.
All research outputs
#18,019,126
of 23,144,579 outputs
Outputs from Applied Network Science
#390
of 507 outputs
Outputs of similar age
#247,419
of 350,169 outputs
Outputs of similar age from Applied Network Science
#20
of 22 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 8th percentile – i.e., 8% 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 350,169 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.