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UK consensus recommendations for clinical management of cancer risk for women with germline pathogenic variants in cancer predisposition genes: RAD51C, RAD51D, BRIP1 and PALB2

Overview of attention for article published in Journal of Medical Genetics, November 2022
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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 (87th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
26 X users
facebook
1 Facebook page

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
36 Mendeley
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Title
UK consensus recommendations for clinical management of cancer risk for women with germline pathogenic variants in cancer predisposition genes: RAD51C, RAD51D, BRIP1 and PALB2
Published in
Journal of Medical Genetics, November 2022
DOI 10.1136/jmg-2022-108898
Pubmed ID
Authors

Helen Hanson, Anjana Kulkarni, Lucy Loong, Grace Kavanaugh, Bethany Torr, Sophie Allen, Munaza Ahmed, Antonis C Antoniou, Ruth Cleaver, Tabib Dabir, D Gareth Evans, Ellen Golightly, Rosalyn Jewell, Kelly Kohut, Ranjit Manchanda, Alex Murray, Jennie Murray, Kai-Ren Ong, Adam N Rosenthal, Emma Roisin Woodward, Diana M Eccles, Clare Turnbull, Marc Tischkowitz, On behalf of Consensus meeting attendees, Fiona Lalloo, On behalf of Consensus meeting attendees, Julian Barwell, Cheryl Berlin, Helen Bolton, Angela Brady, Karen Cadoo, Helena Carley, Oonagh Claber, Jackie Cook, Ellen Copson, Rosemarie Davidson, Alan Donaldson, Miranda Durkie, Angela George, Sadaf Ghaem-Maghami, Rachael Mein, Stephanie Greville-Heygate, David Goudie, Sarah Hamilton, Rachel Harrison, Lara Hawkes, Kate Henwood, Debby Holloway, Tracey Irvine, Rema Iyer, Atiyah Kamran, Zoe Kemp, Zosia Miedzybrodzka, Terri McVeigh, Selina Moss Davies, Hannah Musgrave, Sian Nisbet, Paul Pharoah, Marie-Claire Platt, Imran Rafi, Gillian Rea, Sukhwinder Sahota, Aarti Sharma, Lucy Side, Katherine Smith, Katie Snape, Hooman Soleymani majd, Bev Speight, Anil Tailor, William Teh, Karin Williamson

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X Demographics

X Demographics

The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 11%
Other 3 8%
Student > Postgraduate 2 6%
Student > Master 2 6%
Student > Ph. D. Student 2 6%
Other 5 14%
Unknown 18 50%
Readers by discipline Count As %
Medicine and Dentistry 12 33%
Biochemistry, Genetics and Molecular Biology 4 11%
Unspecified 1 3%
Computer Science 1 3%
Nursing and Health Professions 1 3%
Other 0 0%
Unknown 17 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 December 2023.
All research outputs
#1,305,101
of 26,179,045 outputs
Outputs from Journal of Medical Genetics
#74
of 3,172 outputs
Outputs of similar age
#28,661
of 499,874 outputs
Outputs of similar age from Journal of Medical Genetics
#5
of 39 outputs
Altmetric has tracked 26,179,045 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,172 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 499,874 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 39 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.