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Selective oestrogen receptor modulators in prevention of breast cancer: an updated meta-analysis of individual participant data

Overview of attention for article published in The Lancet, April 2013
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Citations

dimensions_citation
409 Dimensions

Readers on

mendeley
390 Mendeley
citeulike
3 CiteULike
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Title
Selective oestrogen receptor modulators in prevention of breast cancer: an updated meta-analysis of individual participant data
Published in
The Lancet, April 2013
DOI 10.1016/s0140-6736(13)60140-3
Pubmed ID
Authors

Jack Cuzick, Ivana Sestak, Bernardo Bonanni, Joseph P Costantino, Steve Cummings, Andrea DeCensi, Mitch Dowsett, John F Forbes, Leslie Ford, Andrea Z LaCroix, John Mershon, Bruce H Mitlak, Trevor Powles, Umberto Veronesi, Victor Vogel, D Lawrence Wickerham, for the SERM Chemoprevention of Breast Cancer Overview Group

Abstract

Tamoxifen and raloxifene reduce the risk of breast cancer in women at elevated risk of disease, but the duration of the effect is unknown. We assessed the effectiveness of selective oestrogen receptor modulators (SERMs) on breast cancer incidence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 102 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 390 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Italy 1 <1%
Denmark 1 <1%
China 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 383 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 52 13%
Researcher 46 12%
Student > Master 46 12%
Student > Ph. D. Student 41 11%
Other 35 9%
Other 76 19%
Unknown 94 24%
Readers by discipline Count As %
Medicine and Dentistry 145 37%
Biochemistry, Genetics and Molecular Biology 38 10%
Agricultural and Biological Sciences 34 9%
Nursing and Health Professions 17 4%
Pharmacology, Toxicology and Pharmaceutical Science 17 4%
Other 35 9%
Unknown 104 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 179. 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 15 November 2022.
All research outputs
#228,928
of 25,773,273 outputs
Outputs from The Lancet
#2,592
of 42,993 outputs
Outputs of similar age
#1,435
of 205,139 outputs
Outputs of similar age from The Lancet
#27
of 612 outputs
Altmetric has tracked 25,773,273 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 42,993 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.0. 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 205,139 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 99% of its contemporaries.
We're also able to compare this research output to 612 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 95% of its contemporaries.