↓ Skip to main content

Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks

Overview of attention for article published in EURASIP Journal on Image and Video Processing, September 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
119 Dimensions

Readers on

mendeley
109 Mendeley
Title
Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks
Published in
EURASIP Journal on Image and Video Processing, September 2018
DOI 10.1186/s13640-018-0332-4
Authors

Mahmoud Khaled Abd-Ellah, Ali Ismail Awad, Ashraf A. M. Khalaf, Hesham F. A. Hamed

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 16%
Student > Master 10 9%
Researcher 9 8%
Professor > Associate Professor 8 7%
Student > Bachelor 7 6%
Other 12 11%
Unknown 46 42%
Readers by discipline Count As %
Computer Science 25 23%
Engineering 18 17%
Medicine and Dentistry 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Unspecified 1 <1%
Other 5 5%
Unknown 55 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 October 2018.
All research outputs
#15,070,619
of 25,385,509 outputs
Outputs from EURASIP Journal on Image and Video Processing
#120
of 233 outputs
Outputs of similar age
#183,099
of 353,698 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#5
of 21 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 48th percentile – i.e., 48% 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 353,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.