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High Mammographic Density in Long-Term Night-Shift Workers: DDM-Spain/Var-DDM

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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6 news outlets
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4 X users

Citations

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6 Dimensions

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48 Mendeley
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Title
High Mammographic Density in Long-Term Night-Shift Workers: DDM-Spain/Var-DDM
Published in
Cancer Epidemiology, Biomarkers & Prevention, May 2017
DOI 10.1158/1055-9965.epi-16-0507
Pubmed ID
Authors

Ana María Pedraza-Flechas, Virginia Lope, Carmen Sánchez-Contador, Carmen Santamariña, Carmen Pedraz-Pingarrón, Pilar Moreo, María Ederra, Josefa Miranda-García, Carmen Vidal, Rafael Llobet, Nuria Aragonés, Dolores Salas-Trejo, Marina Pollán, Beatriz Pérez-Gómez

Abstract

Background:Night-shift work (NSW) has been suggested as a possible cause of breast cancer (BC), and its association with mammographic density (MD), one of the strongest risk factors for BC, has been scarcely addressed. This study examined NSW and MD in Spanish women. Methods:The study covered 2752 women aged 45-68 years recruited in 2007-2008 in 7 population-based public BC screening centers, which included 243 women who had performed NSW for at least one year. Occupational data and information on potential confounders was collected by personal interview. Two trained radiologist estimated the percentage of MD assisted by a validated semiautomatic computer tool (DM-scan). Multivariable mixed linear regression models with random screening-center-specific intercepts were fitted using log-transformed percentage of MD as the dependent variable and adjusting by known confounding variables Results:Having ever worked in NSW was not associated with MD (e(β):0.96; 95%CI:0.86-1.06). However, the adjusted geometric mean of the percentage of MD in women with NSW for more than15 years was 25% higher than that of those without NSW history (MD>15 years:20.7% vs MDnever:16.5%;e^β:1.25; 95%CI:1.01-1.54). This association was mainly observed in postmenopausal participants (e(β):1.28; 95%CI:1.00-1.64). Among NSW-exposed women, those with ≤2 night-shifts per week had higher MD than those with 5-7 nightshifts per week (e(β):1.42; 95%CI:1.10-1.84). Conclusions:Performing NSW was associated with higher MD only in women with more than 15 years of cumulated exposure. These findings warrant replication in futures studies. Impact:Our findings suggest that MD could play a role in the pathway between long term NSW and BC.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 13%
Student > Master 5 10%
Student > Bachelor 5 10%
Student > Ph. D. Student 3 6%
Other 3 6%
Other 6 13%
Unknown 20 42%
Readers by discipline Count As %
Medicine and Dentistry 11 23%
Nursing and Health Professions 4 8%
Agricultural and Biological Sciences 2 4%
Computer Science 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 8 17%
Unknown 20 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 09 January 2018.
All research outputs
#889,427
of 25,382,440 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#325
of 4,849 outputs
Outputs of similar age
#18,199
of 330,283 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#8
of 102 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,849 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has done particularly well, scoring higher than 93% 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 330,283 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.