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Differentiation of Multivariable Composite Functions and Bell Polynomials

Overview of attention for article published in Journal of Computational Analysis & Applications, July 2003
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Mentioned by

wikipedia
5 Wikipedia pages

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
10 Mendeley
citeulike
1 CiteULike
Title
Differentiation of Multivariable Composite Functions and Bell Polynomials
Published in
Journal of Computational Analysis & Applications, July 2003
DOI 10.1023/a:1023227705558
Authors

Silvia Noschese, Paolo E. Ricci

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 %
Professor > Associate Professor 4 40%
Student > Bachelor 2 20%
Student > Ph. D. Student 1 10%
Student > Doctoral Student 1 10%
Researcher 1 10%
Other 1 10%
Readers by discipline Count As %
Mathematics 5 50%
Physics and Astronomy 3 30%
Computer Science 1 10%
Unknown 1 10%
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 29 September 2018.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Journal of Computational Analysis & Applications
#1
of 2 outputs
Outputs of similar age
#18,465
of 52,454 outputs
Outputs of similar age from Journal of Computational Analysis & Applications
#1
of 1 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 1 of them.
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 52,454 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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