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MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2023
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
220 Mendeley
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Title
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
Published in
BMC Medical Informatics and Decision Making, January 2023
DOI 10.1186/s12911-023-02114-6
Pubmed ID
Authors

Soheila Saeedi, Sorayya Rezayi, Hamidreza Keshavarz, Sharareh R. Niakan Kalhori

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 220 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 5%
Student > Master 10 5%
Unspecified 9 4%
Researcher 8 4%
Student > Bachelor 7 3%
Other 25 11%
Unknown 150 68%
Readers by discipline Count As %
Computer Science 34 15%
Engineering 14 6%
Unspecified 9 4%
Medicine and Dentistry 3 1%
Mathematics 1 <1%
Other 4 2%
Unknown 155 70%
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 25 January 2023.
All research outputs
#17,179,145
of 25,235,400 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,406
of 2,136 outputs
Outputs of similar age
#264,993
of 469,600 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#26
of 44 outputs
Altmetric has tracked 25,235,400 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,136 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 24th percentile – i.e., 24% 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 469,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.