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Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2019
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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4 X users

Citations

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125 Dimensions

Readers on

mendeley
142 Mendeley
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Title
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Published in
BMC Medical Informatics and Decision Making, July 2019
DOI 10.1186/s12911-019-0842-8
Pubmed ID
Authors

Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier, Sheraz Ahmed

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 11%
Student > Master 16 11%
Lecturer 8 6%
Student > Bachelor 8 6%
Student > Doctoral Student 7 5%
Other 25 18%
Unknown 62 44%
Readers by discipline Count As %
Computer Science 40 28%
Medicine and Dentistry 15 11%
Engineering 12 8%
Physics and Astronomy 2 1%
Mathematics 2 1%
Other 6 4%
Unknown 65 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2020.
All research outputs
#14,198,349
of 23,211,181 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,087
of 2,019 outputs
Outputs of similar age
#167,748
of 315,896 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#31
of 45 outputs
Altmetric has tracked 23,211,181 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,019 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 44th percentile – i.e., 44% 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 315,896 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.