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Mendeley readers
Attention Score in Context
| Title |
A NewtonGrassmann Method for Computing the Best Multilinear Rank-$(r_1,$ $r_2,$ $r_3)$ Approximation of a Tensor
|
|---|---|
| Published in |
SIAM Journal on Matrix Analysis & Applications, March 2009
|
| DOI | 10.1137/070688316 |
| Authors |
Lars Eldn, Berkant Savas |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 6% |
| Turkey | 2 | 6% |
| United States | 1 | 3% |
| Unknown | 31 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 28% |
| Researcher | 6 | 17% |
| Professor | 6 | 17% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Other | 5 | 14% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 36% |
| Mathematics | 11 | 31% |
| Engineering | 4 | 11% |
| Physics and Astronomy | 2 | 6% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 3 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 January 2017.
All research outputs
#8,535,684
of 25,377,790 outputs
Outputs from SIAM Journal on Matrix Analysis & Applications
#106
of 486 outputs
Outputs of similar age
#40,812
of 115,981 outputs
Outputs of similar age from SIAM Journal on Matrix Analysis & Applications
#2
of 2 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 486 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 54% 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 115,981 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.