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Gene rearrangements in hormone receptor negative breast cancers revealed by mate pair sequencing

Overview of attention for article published in BMC Genomics, March 2013
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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Citations

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36 Dimensions

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57 Mendeley
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Title
Gene rearrangements in hormone receptor negative breast cancers revealed by mate pair sequencing
Published in
BMC Genomics, March 2013
DOI 10.1186/1471-2164-14-165
Pubmed ID
Authors

Xiang Jiao, Sean D Hooper, Tatjana Djureinovic, Chatarina Larsson, Fredrik Wärnberg, Christian Tellgren-Roth, Johan Botling, Tobias Sjöblom

Abstract

Chromosomal rearrangements in the form of deletions, insertions, inversions and translocations are frequently observed in breast cancer genomes, and a subset of these rearrangements may play a crucial role in tumorigenesis. To identify novel somatic chromosomal rearrangements, we determined the genome structures of 15 hormone-receptor negative breast tumors by long-insert mate pair massively parallel sequencing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
Sweden 1 2%
Austria 1 2%
Unknown 53 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 26%
Other 11 19%
Student > Ph. D. Student 10 18%
Student > Postgraduate 4 7%
Student > Master 3 5%
Other 5 9%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 42%
Medicine and Dentistry 8 14%
Biochemistry, Genetics and Molecular Biology 5 9%
Computer Science 3 5%
Engineering 2 4%
Other 5 9%
Unknown 10 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 28 March 2013.
All research outputs
#2,551,364
of 22,701,287 outputs
Outputs from BMC Genomics
#820
of 10,622 outputs
Outputs of similar age
#21,871
of 195,527 outputs
Outputs of similar age from BMC Genomics
#8
of 130 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,622 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 92% 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 195,527 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 88% of its contemporaries.
We're also able to compare this research output to 130 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 93% of its contemporaries.