Title |
Molecular profiling of patient-derived breast cancer xenografts
|
---|---|
Published in |
Breast Cancer Research, January 2012
|
DOI | 10.1186/bcr3095 |
Pubmed ID | |
Authors |
Fabien Reyal, Charlotte Guyader, Charles Decraene, Carlo Lucchesi, Nathalie Auger, Franck Assayag, Ludmilla De Plater, David Gentien, Marie-France Poupon, Paul Cottu, Patricia De Cremoux, Pierre Gestraud, Anne Vincent-Salomon, Jean-Jacques Fontaine, Sergio Roman-Roman, Olivier Delattre, Didier Decaudin, Elisabetta Marangoni |
Abstract |
Identification of new therapeutic agents for breast cancer (BC) requires preclinical models that reproduce the molecular characteristics of their respective clinical tumors. In this work, we analyzed the genomic and gene expression profiles of human BC xenografts and the corresponding patient tumors. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
United Kingdom | 2 | 1% |
Russia | 2 | 1% |
France | 1 | <1% |
China | 1 | <1% |
Australia | 1 | <1% |
Spain | 1 | <1% |
Netherlands | 1 | <1% |
Unknown | 148 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 48 | 30% |
Student > Ph. D. Student | 25 | 16% |
Student > Master | 23 | 14% |
Other | 13 | 8% |
Student > Bachelor | 6 | 4% |
Other | 19 | 12% |
Unknown | 26 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 44 | 28% |
Biochemistry, Genetics and Molecular Biology | 30 | 19% |
Medicine and Dentistry | 29 | 18% |
Engineering | 5 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 2% |
Other | 12 | 8% |
Unknown | 37 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 31 August 2014.
All research outputs
#6,373,276
of 25,373,627 outputs
Outputs from Breast Cancer Research
#728
of 2,052 outputs
Outputs of similar age
#52,314
of 251,075 outputs
Outputs of similar age from Breast Cancer Research
#7
of 40 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has gotten more attention than average, scoring higher than 64% 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 251,075 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 78% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.