| Title |
Smoothing noisy data with spline functions
|
|---|---|
| Published in |
Numerische Mathematik, December 1978
|
| DOI | 10.1007/bf01404567 |
| Authors |
Peter Craven, Grace Wahba |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 293 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Germany | 2 | <1% |
| United Kingdom | 2 | <1% |
| Switzerland | 1 | <1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 275 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 86 | 29% |
| Researcher | 45 | 15% |
| Student > Master | 31 | 11% |
| Student > Doctoral Student | 25 | 9% |
| Professor > Associate Professor | 16 | 5% |
| Other | 46 | 16% |
| Unknown | 44 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 47 | 16% |
| Computer Science | 42 | 14% |
| Mathematics | 40 | 14% |
| Agricultural and Biological Sciences | 23 | 8% |
| Earth and Planetary Sciences | 15 | 5% |
| Other | 67 | 23% |
| Unknown | 59 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 12 February 2022.
All research outputs
#2,537,528
of 25,769,258 outputs
Outputs from Numerische Mathematik
#5
of 373 outputs
Outputs of similar age
#450
of 26,598 outputs
Outputs of similar age from Numerische Mathematik
#1
of 1 outputs
Altmetric has tracked 25,769,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 373 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 98% 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 26,598 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 1 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