| Title |
Robustness and efficiency in interconnected networks with changes in network assortativity
|
|---|---|
| Published in |
Applied Network Science, March 2017
|
| DOI | 10.1007/s41109-017-0025-4 |
| Pubmed ID | |
| Authors |
Masaya Murakami, Shu Ishikura, Daichi Kominami, Tetsuya Shimokawa, Masayuki Murata |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 36% |
| Researcher | 6 | 21% |
| Student > Postgraduate | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Professor | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 4 | 14% |
| Engineering | 3 | 11% |
| Computer Science | 3 | 11% |
| Business, Management and Accounting | 3 | 11% |
| Mathematics | 2 | 7% |
| Other | 7 | 25% |
| Unknown | 6 | 21% |
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 21 August 2018.
All research outputs
#3,145,914
of 22,965,074 outputs
Outputs from Applied Network Science
#94
of 502 outputs
Outputs of similar age
#60,214
of 308,200 outputs
Outputs of similar age from Applied Network Science
#2
of 5 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done well, scoring higher than 81% of its peers.
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 308,200 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 80% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.