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Self-similar power transforms in extrapolation problems

Overview of attention for article published in Journal of Mathematical Chemistry, November 2005
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About this Attention Score

  • Among the highest-scoring outputs from this source (#18 of 158)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
10 Mendeley
Title
Self-similar power transforms in extrapolation problems
Published in
Journal of Mathematical Chemistry, November 2005
DOI 10.1007/s10910-005-9003-7
Authors

S. Gluzman, V. I. Yukalov

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 20%
Student > Ph. D. Student 2 20%
Student > Bachelor 1 10%
Lecturer 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Engineering 3 30%
Unspecified 2 20%
Chemistry 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Unknown 3 30%
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 20 May 2012.
All research outputs
#7,461,241
of 22,811,321 outputs
Outputs from Journal of Mathematical Chemistry
#18
of 158 outputs
Outputs of similar age
#16,769
of 48,672 outputs
Outputs of similar age from Journal of Mathematical Chemistry
#1
of 2 outputs
Altmetric has tracked 22,811,321 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 158 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 60% 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 48,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% 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