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X Demographics
Mendeley readers
Attention Score in Context
Title |
Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics
|
---|---|
Published in |
Genome Medicine, December 2014
|
DOI | 10.1186/s13073-014-0116-0 |
Pubmed ID | |
Authors |
Paul Guilhamon, Lee M Butcher, Nadege Presneau, Gareth A Wilson, Andrew Feber, Dirk S Paul, Moritz Schütte, Johannes Haybaeck, Ulrich Keilholz, Jens Hoffman, Mark T Ross, Adrienne M Flanagan, Stephan Beck |
Abstract |
The use of tumour xenografts is a well-established research tool in cancer genomics but has not yet been comprehensively evaluated for cancer epigenomics. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 40% |
France | 2 | 20% |
United States | 1 | 10% |
Unknown | 3 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 50% |
Scientists | 4 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
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 % |
---|---|---|
Malaysia | 1 | 2% |
France | 1 | 2% |
Switzerland | 1 | 2% |
Unknown | 39 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 45% |
Other | 4 | 10% |
Professor | 3 | 7% |
Student > Ph. D. Student | 3 | 7% |
Student > Postgraduate | 3 | 7% |
Other | 6 | 14% |
Unknown | 4 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 13 | 31% |
Medicine and Dentistry | 8 | 19% |
Agricultural and Biological Sciences | 8 | 19% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
Veterinary Science and Veterinary Medicine | 1 | 2% |
Other | 4 | 10% |
Unknown | 6 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 11 November 2016.
All research outputs
#1,010,555
of 23,299,593 outputs
Outputs from Genome Medicine
#199
of 1,456 outputs
Outputs of similar age
#14,173
of 359,391 outputs
Outputs of similar age from Genome Medicine
#8
of 68 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one has done well, scoring higher than 86% 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 359,391 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.