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Mammographic density and breast cancer in women from high risk families

Overview of attention for article published in Breast Cancer Research, July 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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1 news outlet
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9 X users

Citations

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22 Dimensions

Readers on

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74 Mendeley
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Title
Mammographic density and breast cancer in women from high risk families
Published in
Breast Cancer Research, July 2015
DOI 10.1186/s13058-015-0604-1
Pubmed ID
Authors

Teresa Ramón y Cajal, Isabel Chirivella, Josefa Miranda, Alexandre Teule, Ángel Izquierdo, Judith Balmaña, Ana Beatriz Sánchez-Heras, Gemma Llort, David Fisas, Virginia Lope, Elena Hernández-Agudo, María José Juan-Fita, Isabel Tena, Luis Robles, Carmen Guillén-Ponce, Pedro Pérez-Segura, Mari Sol Luque-Molina, Susana Hernando-Polo, Mónica Salinas, Joan Brunet, María Dolores Salas-Trejo, Agustí Barnadas, Marina Pollán

Abstract

Mammographic density (MD) is one of the strongest determinants of sporadic breast cancer (BC). In this study, we compared MD in BRCA1/2 mutation carriers and non-carriers from BRCA1/2 mutation-positive families and investigated the association between MD and BC among BRCA1/2 mutation carriers per type of mutation and tumor subtype. The study was carried out in 1039 female members of BRCA1 and BRCA2 mutation-positive families followed at 16 Spanish Genetic Counseling Units. Participants' density was scored retrospectively from available mammograms by a single blinded radiologist using a 5-category scale (<10 %, 10-25 %, 25-50 %, 50-75 %, >75 %). In BC cases, we selected mammograms taken prior to diagnosis or from the contralateral breast, whereas, in non-cases, the last screening mammogram was evaluated. MD distribution in carriers and non-carriers was compared using ordinal logistic models, and the association between MD and BC in BRCA1/2 mutation carriers was studied using logistic regression. Huber-White robust estimators of variance were used to take into account correlations between family members. A similar multinomial model was used to explore this association by BC subtype. We identified and scored mammograms from 341 BRCA1, 350 BRCA2 mutation carriers and 229 non-carriers. Compared to non-carriers, MD was significantly lower among BRCA2 mutation carriers (odds ratio (OR) =0.71; P-value=0.04), but not among BRCA1 carriers (OR=0.84; P-value=0.33). MD was associated with subsequent development BC (OR per category of MD=1.45; 95 % confidence interval=1.18-1.78, P-value<0.001), with no significant differences between BRCA1 and BRCA2 mutation carriers (P-value=0.48). Finally, no statistically significant differences were observed in the association of MD with specific BC subtypes. Our study, the largest to date on this issue, confirms that MD is an independent risk factor for all BC subtypes in either BRCA1 and BRCA2 mutation carriers, and should be considered a phenotype risk marker in this context.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 18%
Researcher 11 15%
Student > Ph. D. Student 10 14%
Professor > Associate Professor 7 9%
Other 5 7%
Other 14 19%
Unknown 14 19%
Readers by discipline Count As %
Medicine and Dentistry 31 42%
Biochemistry, Genetics and Molecular Biology 6 8%
Agricultural and Biological Sciences 5 7%
Nursing and Health Professions 3 4%
Computer Science 2 3%
Other 12 16%
Unknown 15 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 February 2022.
All research outputs
#2,285,625
of 25,371,288 outputs
Outputs from Breast Cancer Research
#214
of 2,052 outputs
Outputs of similar age
#28,406
of 277,374 outputs
Outputs of similar age from Breast Cancer Research
#7
of 44 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done well, scoring higher than 89% 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 277,374 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 89% of its contemporaries.
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 has done well, scoring higher than 84% of its contemporaries.