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Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks

Overview of attention for article published in Journal of Big Data, June 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks
Published in
Journal of Big Data, June 2020
DOI 10.1186/s40537-020-00311-y
Authors

Annapareddy V. N. Reddy, Ch. Phani Krishna, Pradeep Kumar Mallick, Sandeep Kumar Satapathy, Prayag Tiwari, Mikhail Zymbler, Sachin Kumar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Student > Master 4 13%
Researcher 3 9%
Student > Bachelor 1 3%
Other 1 3%
Other 1 3%
Unknown 18 56%
Readers by discipline Count As %
Computer Science 6 19%
Mathematics 2 6%
Engineering 2 6%
Agricultural and Biological Sciences 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 18 56%
Attention Score in Context

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 24 July 2020.
All research outputs
#4,270,262
of 23,223,705 outputs
Outputs from Journal of Big Data
#74
of 348 outputs
Outputs of similar age
#104,983
of 397,537 outputs
Outputs of similar age from Journal of Big Data
#5
of 12 outputs
Altmetric has tracked 23,223,705 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 348 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 77% 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 397,537 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.