| Title |
Sparse matrix computations for dynamic network centrality
|
|---|---|
| Published in |
Applied Network Science, June 2017
|
| DOI | 10.1007/s41109-017-0038-z |
| Pubmed ID | |
| Authors |
Francesca Arrigo, Desmond J. Higham |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Student > Postgraduate | 2 | 25% |
| Student > Bachelor | 1 | 13% |
| Student > Master | 1 | 13% |
| Lecturer | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 50% |
| Mathematics | 1 | 13% |
| Decision Sciences | 1 | 13% |
| Social Sciences | 1 | 13% |
| Unknown | 1 | 13% |
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 27 June 2017.
All research outputs
#18,556,449
of 22,982,639 outputs
Outputs from Applied Network Science
#460
of 503 outputs
Outputs of similar age
#241,458
of 315,940 outputs
Outputs of similar age from Applied Network Science
#13
of 18 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 503 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 2nd percentile – i.e., 2% 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 315,940 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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.