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Handwritten Bangla character recognition using a soft computing paradigm embedded in two pass approach

Overview of attention for article published in Pattern Recognition, June 2015
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1 Facebook page

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64 Mendeley
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Article details
Title
Handwritten Bangla character recognition using a soft computing paradigm embedded in two pass approach
Published in
Pattern Recognition, June 2015
DOI 10.1016/j.patcog.2014.12.011
Authors

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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Student > Master 14 22%
Researcher 6 9%
Professor > Associate Professor 5 8%
Other 4 6%
Other 10 16%
Unknown 9 14%
Readers by discipline
Readers by discipline Count As %
Computer Science 39 61%
Engineering 8 13%
Earth and Planetary Sciences 1 2%
Sports and Recreations 1 2%
Neuroscience 1 2%
Other 2 3%
Unknown 12 19%
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 03 January 2015.
All research outputs
#24,996,526
of 27,780,120 outputs
Outputs from Pattern Recognition
#2,646
of 3,054 outputs
Outputs of similar age
#244,863
of 284,420 outputs
Outputs of similar age from Pattern Recognition
#16
of 17 outputs
Altmetric has tracked 27,780,120 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 3,054 research outputs from this source. They receive a mean Attention Score of 4.0. 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 284,420 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 17 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.