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Wavelet-based multifractal analysis of dynamic infrared thermograms to assist in early breast cancer diagnosis

Overview of attention for article published in Frontiers in Physiology, May 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 policy source
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3 X users
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2 Facebook pages

Citations

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74 Dimensions

Readers on

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66 Mendeley
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Title
Wavelet-based multifractal analysis of dynamic infrared thermograms to assist in early breast cancer diagnosis
Published in
Frontiers in Physiology, May 2014
DOI 10.3389/fphys.2014.00176
Pubmed ID
Authors

Evgeniya Gerasimova, Benjamin Audit, Stephane G. Roux, André Khalil, Olga Gileva, Françoise Argoul, Oleg Naimark, Alain Arneodo

Abstract

Breast cancer is the most common type of cancer among women and despite recent advances in the medical field, there are still some inherent limitations in the currently used screening techniques. The radiological interpretation of screening X-ray mammograms often leads to over-diagnosis and, as a consequence, to unnecessary traumatic and painful biopsies. Here we propose a computer-aided multifractal analysis of dynamic infrared (IR) imaging as an efficient method for identifying women with risk of breast cancer. Using a wavelet-based multi-scale method to analyze the temporal fluctuations of breast skin temperature collected from a panel of patients with diagnosed breast cancer and some female volunteers with healthy breasts, we show that the multifractal complexity of temperature fluctuations observed in healthy breasts is lost in mammary glands with malignant tumor. Besides potential clinical impact, these results open new perspectives in the investigation of physiological changes that may precede anatomical alterations in breast cancer development.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
France 1 2%
Belgium 1 2%
Australia 1 2%
Unknown 62 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 27%
Student > Master 8 12%
Student > Bachelor 6 9%
Professor > Associate Professor 6 9%
Student > Postgraduate 5 8%
Other 13 20%
Unknown 10 15%
Readers by discipline Count As %
Engineering 12 18%
Medicine and Dentistry 9 14%
Physics and Astronomy 7 11%
Agricultural and Biological Sciences 6 9%
Computer Science 4 6%
Other 12 18%
Unknown 16 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 January 2019.
All research outputs
#5,637,754
of 22,755,127 outputs
Outputs from Frontiers in Physiology
#2,594
of 13,559 outputs
Outputs of similar age
#53,024
of 227,621 outputs
Outputs of similar age from Frontiers in Physiology
#25
of 109 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,559 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 80% 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 227,621 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.