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Prospective validation of the BOADICEA multifactorial breast cancer risk prediction model in a large prospective cohort study

Overview of attention for article published in Journal of Medical Genetics, September 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
33 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Prospective validation of the BOADICEA multifactorial breast cancer risk prediction model in a large prospective cohort study
Published in
Journal of Medical Genetics, September 2022
DOI 10.1136/jmg-2022-108806
Pubmed ID
Authors

Xin Yang, Mikael Eriksson, Kamila Czene, Andrew Lee, Goska Leslie, Michael Lush, Jean Wang, Joe Dennis, Leila Dorling, Sara Carvalho, Nasim Mavaddat, Jacques Simard, Marjanka K Schmidt, Douglas F Easton, Per Hall, Antonis C Antoniou

Twitter Demographics

The data shown below were collected from the profiles of 33 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 18%
Unspecified 3 14%
Student > Doctoral Student 2 9%
Professor 2 9%
Researcher 2 9%
Other 5 23%
Unknown 4 18%
Readers by discipline Count As %
Medicine and Dentistry 8 36%
Unspecified 3 14%
Agricultural and Biological Sciences 2 9%
Biochemistry, Genetics and Molecular Biology 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 6 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 26 April 2023.
All research outputs
#1,241,852
of 23,597,497 outputs
Outputs from Journal of Medical Genetics
#81
of 2,979 outputs
Outputs of similar age
#27,570
of 438,444 outputs
Outputs of similar age from Journal of Medical Genetics
#5
of 31 outputs
Altmetric has tracked 23,597,497 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,979 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 97% 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 438,444 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 93% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.