You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Functional genomic analysis of drug sensitivity pathways to guide adjuvant strategies in breast cancer
|
|---|---|
| Published in |
Breast Cancer Research, October 2008
|
| DOI | 10.1186/bcr2159 |
| Pubmed ID | |
| Authors |
Charles Swanton, Zoltan Szallasi, James D Brenton, Julian Downward |
| Abstract |
The widespread introduction of high throughput RNA interference screening technology has revealed tumour drug sensitivity pathways to common cytotoxics such as paclitaxel, doxorubicin and 5-fluorouracil, targeted agents such as trastuzumab and inhibitors of AKT and Poly(ADP-ribose) polymerase (PARP) as well as endocrine therapies such as tamoxifen. Given the limited power of microarray signatures to predict therapeutic response in associative studies of small clinical trial cohorts, the use of functional genomic data combined with expression or sequence analysis of genes and microRNAs implicated in drug response in human tumours may provide a more robust method to guide adjuvant treatment strategies in breast cancer that are transferable across different expression platforms and patient cohorts. |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Brazil | 2 | 3% |
| Canada | 1 | 1% |
| Latvia | 1 | 1% |
| Japan | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 65 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 42% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Master | 6 | 8% |
| Other | 5 | 7% |
| Student > Postgraduate | 4 | 5% |
| Other | 14 | 19% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 53% |
| Biochemistry, Genetics and Molecular Biology | 11 | 15% |
| Medicine and Dentistry | 11 | 15% |
| Computer Science | 1 | 1% |
| Immunology and Microbiology | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 7 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 October 2015.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Breast Cancer Research
#977
of 2,052 outputs
Outputs of similar age
#37,216
of 104,773 outputs
Outputs of similar age from Breast Cancer Research
#8
of 16 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
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 is in the 39th percentile – i.e., 39% 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 104,773 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.