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Influence of the measurement method of features in ultrasound images of the thyroid in the diagnosis of Hashimoto’s disease

Overview of attention for article published in BioMedical Engineering OnLine, November 2012
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Citations

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Title
Influence of the measurement method of features in ultrasound images of the thyroid in the diagnosis of Hashimoto’s disease
Published in
BioMedical Engineering OnLine, November 2012
DOI 10.1186/1475-925x-11-91
Pubmed ID
Authors

Robert Koprowski, Anna Korzyńska, Zygmunt Wróbel, Witold Zieleźnik, Agnieszka Witkowska, Justyna Małyszek, Waldemar Wójcik

Abstract

This paper shows the influence of a measurement method of features in the diagnosis of Hashimoto's disease. Sensitivity of the algorithm to changes in the parameters of the ROI, namely shift, resizing and rotation, has been presented. The obtained results were also compared to the methods known from the literature in which decision trees or average gray level thresholding are used.

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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 4 21%
Researcher 3 16%
Student > Doctoral Student 2 11%
Student > Bachelor 2 11%
Student > Master 1 5%
Other 3 16%
Unknown 4 21%
Readers by discipline Count As %
Medicine and Dentistry 6 32%
Engineering 4 21%
Psychology 2 11%
Computer Science 1 5%
Chemical Engineering 1 5%
Other 1 5%
Unknown 4 21%
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 29 November 2012.
All research outputs
#17,671,894
of 22,687,320 outputs
Outputs from BioMedical Engineering OnLine
#529
of 821 outputs
Outputs of similar age
#207,348
of 277,211 outputs
Outputs of similar age from BioMedical Engineering OnLine
#21
of 35 outputs
Altmetric has tracked 22,687,320 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 821 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 31st percentile – i.e., 31% 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 277,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.