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An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices

Overview of attention for article published in BMC Medical Imaging, May 2022
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Mentioned by

twitter
2 tweeters

Readers on

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8 Mendeley
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Title
An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices
Published in
BMC Medical Imaging, May 2022
DOI 10.1186/s12880-022-00812-7
Pubmed ID
Authors

Dheerendranath Battalapalli, B. V. V. S. N. Prabhakar Rao, P. Yogeeswari, C. Kesavadas, Venkateswaran Rajagopalan

Twitter Demographics

The data shown below were collected from the profiles of 2 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Lecturer 2 25%
Student > Ph. D. Student 1 13%
Unknown 3 38%
Readers by discipline Count As %
Engineering 3 38%
Medicine and Dentistry 1 13%
Unknown 4 50%

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 19 May 2022.
All research outputs
#17,009,403
of 21,821,479 outputs
Outputs from BMC Medical Imaging
#312
of 556 outputs
Outputs of similar age
#228,145
of 336,165 outputs
Outputs of similar age from BMC Medical Imaging
#1
of 1 outputs
Altmetric has tracked 21,821,479 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 556 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 38th percentile – i.e., 38% 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 336,165 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% 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