↓ Skip to main content

Polynomial-time inverse computation for accumulative functions with multiple data traversals

Overview of attention for article published in Higher-Order & Symbolic Computation, September 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
12 Mendeley
Title
Polynomial-time inverse computation for accumulative functions with multiple data traversals
Published in
Higher-Order & Symbolic Computation, September 2013
DOI 10.1007/s10990-013-9097-8
Authors

Kazutaka Matsuda, Kazuhiro Inaba, Keisuke Nakano

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Student > Master 2 17%
Researcher 2 17%
Student > Doctoral Student 1 8%
Professor 1 8%
Other 3 25%
Readers by discipline Count As %
Computer Science 12 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 October 2013.
All research outputs
#20,726,842
of 25,460,914 outputs
Outputs from Higher-Order & Symbolic Computation
#52
of 58 outputs
Outputs of similar age
#162,676
of 215,688 outputs
Outputs of similar age from Higher-Order & Symbolic Computation
#3
of 3 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 58 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 3rd percentile – i.e., 3% 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 215,688 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.