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The natural algorithmic approach of mixed trigonometric-polynomial problems

Overview of attention for article published in Journal of Inequalities and Applications, May 2017
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3 X users

Citations

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3 Mendeley
Title
The natural algorithmic approach of mixed trigonometric-polynomial problems
Published in
Journal of Inequalities and Applications, May 2017
DOI 10.1186/s13660-017-1392-1
Pubmed ID
Authors

Tatjana Lutovac, Branko Malešević, Cristinel Mortici

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Unknown 2 67%
Readers by discipline Count As %
Unknown 3 100%
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 01 March 2017.
All research outputs
#17,295,853
of 25,385,509 outputs
Outputs from Journal of Inequalities and Applications
#59
of 175 outputs
Outputs of similar age
#208,676
of 326,999 outputs
Outputs of similar age from Journal of Inequalities and Applications
#4
of 5 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 175 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 51% 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 326,999 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.