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Cell-free DNA analysis reveals POLR1D-mediated resistance to bevacizumab in colorectal cancer

Overview of attention for article published in Genome Medicine, February 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

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7 X users

Citations

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24 Dimensions

Readers on

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42 Mendeley
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Title
Cell-free DNA analysis reveals POLR1D-mediated resistance to bevacizumab in colorectal cancer
Published in
Genome Medicine, February 2020
DOI 10.1186/s13073-020-0719-6
Pubmed ID
Authors

Qing Zhou, Samantha O. Perakis, Peter Ulz, Sumitra Mohan, Jakob M. Riedl, Emina Talakic, Sigurd Lax, Martin Tötsch, Gerald Hoefler, Thomas Bauernhofer, Martin Pichler, Armin Gerger, Jochen B. Geigl, Ellen Heitzer, Michael R. Speicher

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 17%
Student > Ph. D. Student 5 12%
Researcher 4 10%
Student > Master 4 10%
Other 2 5%
Other 4 10%
Unknown 16 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 31%
Medicine and Dentistry 5 12%
Agricultural and Biological Sciences 4 10%
Immunology and Microbiology 1 2%
Unspecified 1 2%
Other 0 0%
Unknown 18 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 October 2020.
All research outputs
#7,092,336
of 23,195,584 outputs
Outputs from Genome Medicine
#1,110
of 1,452 outputs
Outputs of similar age
#132,173
of 361,698 outputs
Outputs of similar age from Genome Medicine
#21
of 27 outputs
Altmetric has tracked 23,195,584 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,452 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 22nd percentile – i.e., 22% 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 361,698 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 62% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.