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Whole-genome sequencing of phenotypically distinct inflammatory breast cancers reveals similar genomic alterations to non-inflammatory breast cancers

Overview of attention for article published in Genome Medicine, April 2021
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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 (82nd percentile)

Mentioned by

twitter
19 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Whole-genome sequencing of phenotypically distinct inflammatory breast cancers reveals similar genomic alterations to non-inflammatory breast cancers
Published in
Genome Medicine, April 2021
DOI 10.1186/s13073-021-00879-x
Pubmed ID
Authors

Xiaotong Li, Sushant Kumar, Arif Harmanci, Shantao Li, Robert R. Kitchen, Yan Zhang, Vikram B. Wali, Sangeetha M. Reddy, Wendy A. Woodward, James M. Reuben, Joel Rozowsky, Christos Hatzis, Naoto T. Ueno, Savitri Krishnamurthy, Lajos Pusztai, Mark Gerstein

Twitter Demographics

The data shown below were collected from the profiles of 19 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Student > Ph. D. Student 1 13%
Student > Bachelor 1 13%
Librarian 1 13%
Researcher 1 13%
Other 1 13%
Unknown 1 13%
Readers by discipline Count As %
Medicine and Dentistry 3 38%
Biochemistry, Genetics and Molecular Biology 2 25%
Immunology and Microbiology 1 13%
Engineering 1 13%
Unknown 1 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 12 July 2021.
All research outputs
#2,399,167
of 19,911,470 outputs
Outputs from Genome Medicine
#562
of 1,296 outputs
Outputs of similar age
#59,389
of 333,650 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 19,911,470 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,296 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one has gotten more attention than average, scoring higher than 56% 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 333,650 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 82% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them