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Application of discrete wavelet transform for analysis of genomic sequences of Mycobacterium tuberculosis

Overview of attention for article published in SpringerPlus, January 2016
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Mentioned by

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1 Facebook page

Citations

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14 Dimensions

Readers on

mendeley
24 Mendeley
Title
Application of discrete wavelet transform for analysis of genomic sequences of Mycobacterium tuberculosis
Published in
SpringerPlus, January 2016
DOI 10.1186/s40064-016-1668-9
Pubmed ID
Authors

Shiwani Saini, Lillie Dewan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 21%
Researcher 4 17%
Student > Bachelor 4 17%
Other 1 4%
Student > Master 1 4%
Other 1 4%
Unknown 8 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 21%
Biochemistry, Genetics and Molecular Biology 3 13%
Computer Science 2 8%
Medicine and Dentistry 2 8%
Arts and Humanities 1 4%
Other 1 4%
Unknown 10 42%
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 02 July 2018.
All research outputs
#20,588,763
of 23,173,635 outputs
Outputs from SpringerPlus
#1,467
of 1,854 outputs
Outputs of similar age
#333,851
of 396,857 outputs
Outputs of similar age from SpringerPlus
#147
of 211 outputs
Altmetric has tracked 23,173,635 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,854 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 1st percentile – i.e., 1% 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 396,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.