| Title |
Model Order Reduction for Linear and Nonlinear Systems: A System-Theoretic Perspective
|
|---|---|
| Published in |
Archives of Computational Methods in Engineering, August 2014
|
| DOI | 10.1007/s11831-014-9111-2 |
| Authors |
Ulrike Baur, Peter Benner, Lihong Feng |
Mendeley readers
The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 2 | 1% |
| Ghana | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 189 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 70 | 36% |
| Student > Master | 29 | 15% |
| Researcher | 23 | 12% |
| Student > Doctoral Student | 14 | 7% |
| Student > Bachelor | 6 | 3% |
| Other | 20 | 10% |
| Unknown | 31 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 111 | 58% |
| Mathematics | 12 | 6% |
| Computer Science | 8 | 4% |
| Materials Science | 3 | 2% |
| Physics and Astronomy | 3 | 2% |
| Other | 10 | 5% |
| Unknown | 46 | 24% |
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 24 November 2014.
All research outputs
#15,310,749
of 22,771,140 outputs
Outputs from Archives of Computational Methods in Engineering
#87
of 166 outputs
Outputs of similar age
#136,164
of 235,610 outputs
Outputs of similar age from Archives of Computational Methods in Engineering
#2
of 3 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 166 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 29th percentile – i.e., 29% 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 235,610 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.