↓ Skip to main content

Recognizing handwritten Arabic words using grapheme segmentation and recurrent neural networks

Overview of attention for article published in International Journal on Document Analysis and Recognition (IJDAR), March 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
37 Mendeley
Title
Recognizing handwritten Arabic words using grapheme segmentation and recurrent neural networks
Published in
International Journal on Document Analysis and Recognition (IJDAR), March 2014
DOI 10.1007/s10032-014-0218-7
Authors

Gheith A. Abandah, Fuad T. Jamour, Esam A. Qaralleh

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 3%
Germany 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 32%
Student > Ph. D. Student 10 27%
Student > Doctoral Student 3 8%
Lecturer 1 3%
Professor 1 3%
Other 3 8%
Unknown 7 19%
Readers by discipline Count As %
Computer Science 23 62%
Engineering 4 11%
Social Sciences 1 3%
Philosophy 1 3%
Unknown 8 22%
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 April 2014.
All research outputs
#16,061,913
of 23,842,189 outputs
Outputs from International Journal on Document Analysis and Recognition (IJDAR)
#138
of 161 outputs
Outputs of similar age
#134,380
of 224,209 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 22nd percentile – i.e., 22% 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 6th percentile – i.e., 6% 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 224,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% 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