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X Demographics
Mendeley readers
Attention Score in Context
Title |
Comprehensive characterization of cell-free tumor DNA in plasma and urine of patients with renal tumors
|
---|---|
Published in |
Genome Medicine, February 2020
|
DOI | 10.1186/s13073-020-00723-8 |
Pubmed ID | |
Authors |
Christopher G. Smith, Tina Moser, Florent Mouliere, Johanna Field-Rayner, Matthew Eldridge, Anja L. Riediger, Dineika Chandrananda, Katrin Heider, Jonathan C. M. Wan, Anne Y. Warren, James Morris, Irena Hudecova, Wendy N. Cooper, Thomas J. Mitchell, Davina Gale, Andrea Ruiz-Valdepenas, Tobias Klatte, Stephan Ursprung, Evis Sala, Antony C. P. Riddick, Tevita F. Aho, James N. Armitage, Samantha Perakis, Martin Pichler, Maximilian Seles, Gabriel Wcislo, Sarah J. Welsh, Athena Matakidou, Tim Eisen, Charles E. Massie, Nitzan Rosenfeld, Ellen Heitzer, Grant D. Stewart |
X Demographics
The data shown below were collected from the profiles of 24 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 | 6 | 25% |
United States | 4 | 17% |
Austria | 2 | 8% |
Australia | 2 | 8% |
Germany | 1 | 4% |
Finland | 1 | 4% |
Japan | 1 | 4% |
Unknown | 7 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 54% |
Scientists | 9 | 38% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Unknown | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 99 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 21 | 21% |
Student > Ph. D. Student | 17 | 17% |
Student > Master | 10 | 10% |
Student > Bachelor | 6 | 6% |
Other | 6 | 6% |
Other | 14 | 14% |
Unknown | 25 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 27 | 27% |
Medicine and Dentistry | 20 | 20% |
Agricultural and Biological Sciences | 7 | 7% |
Computer Science | 3 | 3% |
Engineering | 3 | 3% |
Other | 9 | 9% |
Unknown | 30 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 07 November 2022.
All research outputs
#2,184,205
of 25,587,485 outputs
Outputs from Genome Medicine
#478
of 1,597 outputs
Outputs of similar age
#50,025
of 383,448 outputs
Outputs of similar age from Genome Medicine
#11
of 25 outputs
Altmetric has tracked 25,587,485 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,597 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 70% 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 383,448 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 86% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.