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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 29% |
United States | 1 | 14% |
Spain | 1 | 14% |
Germany | 1 | 14% |
Australia | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 2 | 29% |
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
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.