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Monte Carlo simulations shed light on Bathsheba's suspect breast

Overview of attention for article published in Journal of Biophotonics, December 2012
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Monte Carlo simulations shed light on Bathsheba's suspect breast
Published in
Journal of Biophotonics, December 2012
DOI 10.1002/jbio.201200147
Pubmed ID
Authors

Michelle Heijblom, Linda M. Meijer, Ton G. van Leeuwen, Wiendelt Steenbergen, Srirang Manohar

Abstract

In 1654, Rembrandt van Rijn painted his famous painting Bathsheba at her Bath. Over the years, the depiction of Bathsheba's left breast and especially the presence of local discoloration, has generated debate on whether Rembrandt's Bathsheba suffered from breast cancer. Historical, medical and artistic arguments appeared to be not sufficient to prove if Bathsheba's model truly suffered from breast cancer. However, the bluish discoloration of the breast is an intriguing aspect from a biomedical optics point of view that might help us ending the old debate. By using Monte Carlo simulations in combination with the retinex theory of color vision, we showed that is highly unlikely that breast cancer results in a local bluish discoloration of the skin as is present on Bathsheba's breast. (© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim).

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

Geographical breakdown

Country Count As %
Denmark 1 6%
Italy 1 6%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Student > Doctoral Student 3 17%
Professor 3 17%
Professor > Associate Professor 2 11%
Student > Master 2 11%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Medicine and Dentistry 8 44%
Physics and Astronomy 4 22%
Psychology 1 6%
Nursing and Health Professions 1 6%
Engineering 1 6%
Other 0 0%
Unknown 3 17%
Attention Score in Context

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 24 May 2013.
All research outputs
#16,344,451
of 24,851,605 outputs
Outputs from Journal of Biophotonics
#817
of 2,330 outputs
Outputs of similar age
#185,997
of 289,390 outputs
Outputs of similar age from Journal of Biophotonics
#19
of 40 outputs
Altmetric has tracked 24,851,605 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,330 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 60% 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 289,390 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 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 52% of its contemporaries.