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The optimal recovery of smooth functions

Overview of attention for article published in Numerische Mathematik, June 1976
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
7 Mendeley
citeulike
1 CiteULike
Title
The optimal recovery of smooth functions
Published in
Numerische Mathematik, June 1976
DOI 10.1007/bf01395972
Authors

C. A. Micchelli, T. J. Rivlin, S. Winograd

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 29%
Researcher 2 29%
Student > Ph. D. Student 1 14%
Student > Doctoral Student 1 14%
Unknown 1 14%
Readers by discipline Count As %
Mathematics 2 29%
Computer Science 2 29%
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Engineering 1 14%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 August 2018.
All research outputs
#7,575,113
of 23,100,534 outputs
Outputs from Numerische Mathematik
#52
of 284 outputs
Outputs of similar age
#1,132
of 4,857 outputs
Outputs of similar age from Numerische Mathematik
#1
of 2 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 284 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 39th percentile – i.e., 39% 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 4,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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