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Integrated proteotranscriptomics of breast cancer reveals globally increased protein-mRNA concordance associated with subtypes and survival

Overview of attention for article published in Genome Medicine, December 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

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10 X users

Citations

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98 Dimensions

Readers on

mendeley
79 Mendeley
Title
Integrated proteotranscriptomics of breast cancer reveals globally increased protein-mRNA concordance associated with subtypes and survival
Published in
Genome Medicine, December 2018
DOI 10.1186/s13073-018-0602-x
Pubmed ID
Authors

Wei Tang, Ming Zhou, Tiffany H. Dorsey, DaRue A. Prieto, Xin W. Wang, Eytan Ruppin, Timothy D. Veenstra, Stefan Ambs

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 18%
Student > Ph. D. Student 12 15%
Student > Master 8 10%
Professor > Associate Professor 5 6%
Student > Bachelor 4 5%
Other 12 15%
Unknown 24 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 32%
Medicine and Dentistry 9 11%
Agricultural and Biological Sciences 7 9%
Nursing and Health Professions 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 8 10%
Unknown 25 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 April 2019.
All research outputs
#6,335,574
of 23,116,036 outputs
Outputs from Genome Medicine
#1,047
of 1,450 outputs
Outputs of similar age
#129,638
of 436,841 outputs
Outputs of similar age from Genome Medicine
#21
of 28 outputs
Altmetric has tracked 23,116,036 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,450 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 436,841 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.