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An adaptive water flow model for binarization of degraded document images

Overview of attention for article published in International Journal on Document Analysis and Recognition (IJDAR), January 2012
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Mentioned by

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1 Facebook page

Citations

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17 Dimensions

Readers on

mendeley
18 Mendeley
Title
An adaptive water flow model for binarization of degraded document images
Published in
International Journal on Document Analysis and Recognition (IJDAR), January 2012
DOI 10.1007/s10032-012-0182-z
Authors

Morteza Valizadeh, Ehsanollah Kabir

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Ph. D. Student 3 17%
Student > Master 3 17%
Student > Doctoral Student 2 11%
Professor 1 6%
Other 1 6%
Unknown 3 17%
Readers by discipline Count As %
Computer Science 10 56%
Engineering 3 17%
Unknown 5 28%
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 2013.
All research outputs
#21,180,380
of 23,842,189 outputs
Outputs from International Journal on Document Analysis and Recognition (IJDAR)
#157
of 161 outputs
Outputs of similar age
#227,564
of 250,770 outputs
Outputs of similar age from International Journal on Document Analysis and Recognition (IJDAR)
#1
of 1 outputs
Altmetric has tracked 23,842,189 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 161 research outputs from this source. They receive a mean Attention Score of 4.4. 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 250,770 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 1 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