| Title |
Multidimensional Spline Interpolation: Theory and Applications
|
|---|---|
| Published in |
Computational Economics, July 2007
|
| DOI | 10.1007/s10614-007-9092-4 |
| Authors |
Christian Habermann, Fabian Kindermann |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 8% |
| Australia | 1 | 1% |
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| India | 1 | 1% |
| Unknown | 69 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 27% |
| Researcher | 17 | 22% |
| Student > Master | 10 | 13% |
| Student > Bachelor | 7 | 9% |
| Professor | 3 | 4% |
| Other | 12 | 15% |
| Unknown | 9 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 27 | 34% |
| Economics, Econometrics and Finance | 14 | 18% |
| Computer Science | 7 | 9% |
| Physics and Astronomy | 5 | 6% |
| Mathematics | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 11 | 14% |
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 24 October 2012.
All research outputs
#6,521,631
of 25,809,966 outputs
Outputs from Computational Economics
#40
of 255 outputs
Outputs of similar age
#23,766
of 80,147 outputs
Outputs of similar age from Computational Economics
#1
of 3 outputs
Altmetric has tracked 25,809,966 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 255 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 84% 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 80,147 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% 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