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Smoothing by spline functions

Overview of attention for article published in Numerische Mathematik, October 1967
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 303)
  • High Attention Score compared to outputs of the same age (97th percentile)

Mentioned by

policy
2 policy sources
patent
6 patents
wikipedia
1 Wikipedia page
q&a
1 Q&A thread

Citations

dimensions_citation
1667 Dimensions

Readers on

mendeley
119 Mendeley
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Title
Smoothing by spline functions
Published in
Numerische Mathematik, October 1967
DOI 10.1007/bf02162161
Authors

Christian H. Reinsch

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Germany 2 2%
Serbia 1 <1%
United Kingdom 1 <1%
Unknown 113 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 21%
Student > Ph. D. Student 22 18%
Student > Master 16 13%
Student > Bachelor 8 7%
Professor > Associate Professor 7 6%
Other 21 18%
Unknown 20 17%
Readers by discipline Count As %
Engineering 22 18%
Mathematics 13 11%
Computer Science 12 10%
Earth and Planetary Sciences 9 8%
Agricultural and Biological Sciences 6 5%
Other 33 28%
Unknown 24 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 16 February 2021.
All research outputs
#2,352,580
of 24,920,664 outputs
Outputs from Numerische Mathematik
#4
of 303 outputs
Outputs of similar age
#65
of 2,385 outputs
Outputs of similar age from Numerische Mathematik
#1
of 1 outputs
Altmetric has tracked 24,920,664 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 303 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 99% 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 2,385 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 97% 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