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A survey on computer aided diagnosis for ocular diseases

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
8 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
128 Mendeley
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Title
A survey on computer aided diagnosis for ocular diseases
Published in
BMC Medical Informatics and Decision Making, August 2014
DOI 10.1186/1472-6947-14-80
Pubmed ID
Authors

Zhuo Zhang, Ruchir Srivastava, Huiying Liu, Xiangyu Chen, Lixin Duan, Damon Wing Kee Wong, Chee Keong Kwoh, Tien Yin Wong, Jiang Liu

Abstract

Computer Aided Diagnosis (CAD), which can automate the detection process for ocular diseases, has attracted extensive attention from clinicians and researchers alike. It not only alleviates the burden on the clinicians by providing objective opinion with valuable insights, but also offers early detection and easy access for patients.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Unknown 127 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 20%
Student > Ph. D. Student 25 20%
Student > Bachelor 16 13%
Researcher 12 9%
Student > Doctoral Student 9 7%
Other 22 17%
Unknown 18 14%
Readers by discipline Count As %
Computer Science 41 32%
Engineering 28 22%
Medicine and Dentistry 20 16%
Agricultural and Biological Sciences 4 3%
Physics and Astronomy 2 2%
Other 9 7%
Unknown 24 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 18 September 2014.
All research outputs
#1,473,170
of 8,702,492 outputs
Outputs from BMC Medical Informatics and Decision Making
#196
of 1,003 outputs
Outputs of similar age
#34,892
of 188,765 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 31 outputs
Altmetric has tracked 8,702,492 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,003 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 80% of its peers.
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 188,765 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.