| Title |
Existence of ℋ-matrix approximants to the inverse FE-matrix of elliptic operators with L∞-coefficients
|
|---|---|
| Published in |
Numerische Mathematik, December 2002
|
| DOI | 10.1007/s00211-002-0445-6 |
| Authors |
Mario Bebendorf, Wolfgang Hackbusch |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Switzerland | 1 | 2% |
| Germany | 1 | 2% |
| Spain | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 51 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 32% |
| Professor | 8 | 14% |
| Researcher | 7 | 12% |
| Student > Master | 7 | 12% |
| Professor > Associate Professor | 5 | 9% |
| Other | 4 | 7% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 21 | 37% |
| Engineering | 9 | 16% |
| Computer Science | 8 | 14% |
| Physics and Astronomy | 4 | 7% |
| Earth and Planetary Sciences | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 10 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 04 February 2018.
All research outputs
#5,447,195
of 25,374,917 outputs
Outputs from Numerische Mathematik
#20
of 365 outputs
Outputs of similar age
#15,554
of 136,135 outputs
Outputs of similar age from Numerische Mathematik
#1
of 3 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 365 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 91% 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 136,135 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 82% of its contemporaries.
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. This one has scored higher than all of them