Title |
Sharp inequalities for tangent function with applications
|
---|---|
Published in |
Journal of Inequalities and Applications, May 2017
|
DOI | 10.1186/s13660-017-1372-5 |
Pubmed ID | |
Authors |
Hui-Lin Lv, Zhen-Hang Yang, Tian-Qi Luo, Shen-Zhou Zheng |
Abstract |
In the article, we present new bounds for the function [Formula: see text] on the interval [Formula: see text] and find sharp estimations for the Sine integral and the Catalan constant based on a new monotonicity criterion for the quotient of power series, which refine the Redheffer and Becker-Stark type inequalities for tangent function. |
X Demographics
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Geographical breakdown
Country | Count | As % |
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United States | 1 | 20% |
India | 1 | 20% |
Mexico | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 100% |
Readers by discipline | Count | As % |
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Mathematics | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 June 2017.
All research outputs
#7,716,088
of 25,382,440 outputs
Outputs from Journal of Inequalities and Applications
#26
of 175 outputs
Outputs of similar age
#112,789
of 324,557 outputs
Outputs of similar age from Journal of Inequalities and Applications
#1
of 4 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 175 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done well, scoring higher than 85% 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 324,557 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 4 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