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A framework to distinguish healthy/cancer renal CT images using the fused deep features

Overview of attention for article published in Frontiers in Public Health, January 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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7 Dimensions

Readers on

mendeley
9 Mendeley
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Title
A framework to distinguish healthy/cancer renal CT images using the fused deep features
Published in
Frontiers in Public Health, January 2023
DOI 10.3389/fpubh.2023.1109236
Pubmed ID
Authors

Venkatesan Rajinikanth, P. M. Durai Raj Vincent, Kathiravan Srinivasan, G. Ananth Prabhu, Chuan-Yu Chang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Student > Ph. D. Student 1 11%
Unspecified 1 11%
Student > Bachelor 1 11%
Student > Doctoral Student 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 3 33%
Unspecified 1 11%
Engineering 1 11%
Unknown 4 44%
Attention Score in Context

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 16 February 2023.
All research outputs
#19,193,056
of 23,784,266 outputs
Outputs from Frontiers in Public Health
#6,482
of 11,489 outputs
Outputs of similar age
#300,455
of 437,823 outputs
Outputs of similar age from Frontiers in Public Health
#513
of 1,243 outputs
Altmetric has tracked 23,784,266 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 27th percentile – i.e., 27% 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 437,823 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,243 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.