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X Demographics
Mendeley readers
Attention Score in Context
Title |
Feature extraction from MRI ADC images for brain tumor classification using machine learning techniques
|
---|---|
Published in |
BioMedical Engineering OnLine, August 2022
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DOI | 10.1186/s12938-022-01022-6 |
Pubmed ID | |
Authors |
Sahan M. Vijithananda, Mohan L. Jayatilake, Badra Hewavithana, Teresa Gonçalves, Luis M. Rato, Bimali S. Weerakoon, Tharindu D. Kalupahana, Anil D. Silva, Karuna D. Dissanayake |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 18% |
Lecturer | 3 | 7% |
Student > Bachelor | 2 | 4% |
Student > Master | 2 | 4% |
Researcher | 2 | 4% |
Other | 4 | 9% |
Unknown | 24 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 18% |
Engineering | 5 | 11% |
Neuroscience | 2 | 4% |
Physics and Astronomy | 1 | 2% |
Unspecified | 1 | 2% |
Other | 2 | 4% |
Unknown | 26 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 August 2022.
All research outputs
#15,267,975
of 24,213,557 outputs
Outputs from BioMedical Engineering OnLine
#395
of 843 outputs
Outputs of similar age
#207,244
of 420,018 outputs
Outputs of similar age from BioMedical Engineering OnLine
#5
of 13 outputs
Altmetric has tracked 24,213,557 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 843 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 51% 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 420,018 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 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 69% of its contemporaries.