| Title |
Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework
|
|---|---|
| Published in |
Journal of Global Optimization, March 2013
|
| DOI | 10.1007/s10898-013-0035-4 |
| Authors |
Jingu Kim, Yunlong He, Haesun Park |
Mendeley readers
The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| China | 2 | <1% |
| France | 1 | <1% |
| Taiwan | 1 | <1% |
| Switzerland | 1 | <1% |
| Germany | 1 | <1% |
| Belgium | 1 | <1% |
| Japan | 1 | <1% |
| Russia | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 187 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 29% |
| Researcher | 36 | 18% |
| Student > Master | 29 | 14% |
| Student > Doctoral Student | 13 | 6% |
| Student > Bachelor | 12 | 6% |
| Other | 22 | 11% |
| Unknown | 30 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 70 | 35% |
| Engineering | 27 | 13% |
| Mathematics | 19 | 9% |
| Neuroscience | 11 | 5% |
| Biochemistry, Genetics and Molecular Biology | 7 | 3% |
| Other | 31 | 15% |
| Unknown | 36 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 26 May 2022.
All research outputs
#4,659,341
of 23,025,074 outputs
Outputs from Journal of Global Optimization
#17
of 274 outputs
Outputs of similar age
#39,312
of 194,776 outputs
Outputs of similar age from Journal of Global Optimization
#1
of 4 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 274 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 93% 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 194,776 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 79% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them