| Title |
Optimal shattering of complex networks
|
|---|---|
| Published in |
Applied Network Science, November 2019
|
| DOI | 10.1007/s41109-019-0205-5 |
| Authors |
Nicole Balashov, Reuven Cohen, Avieli Haber, Michael Krivelevich, Simi Haber |
Twitter Demographics
The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 25% |
| United States | 1 | 25% |
| Russia | 1 | 25% |
| United Kingdom | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 18% |
| Professor > Associate Professor | 2 | 18% |
| Student > Ph. D. Student | 2 | 18% |
| Student > Doctoral Student | 1 | 9% |
| Researcher | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 4 | 36% |
| Computer Science | 2 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Engineering | 1 | 9% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 31 March 2020.
All research outputs
#14,466,797
of 23,179,757 outputs
Outputs from Applied Network Science
#331
of 510 outputs
Outputs of similar age
#201,149
of 364,599 outputs
Outputs of similar age from Applied Network Science
#24
of 42 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 510 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 32nd percentile – i.e., 32% 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 364,599 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.