| Title |
Human breast cancer associated fibroblasts exhibit subtype specific gene expression profiles
|
|---|---|
| Published in |
BMC Medical Genomics, September 2012
|
| DOI | 10.1186/1755-8794-5-39 |
| Pubmed ID | |
| Authors |
Julia Tchou, Andrew V Kossenkov, Lisa Chang, Celine Satija, Meenhard Herlyn, Louise C Showe, Ellen Puré |
| Abstract |
Breast cancer is a heterogeneous disease for which prognosis and treatment strategies are largely governed by the receptor status (estrogen, progesterone and Her2) of the tumor cells. Gene expression profiling of whole breast tumors further stratifies breast cancer into several molecular subtypes which also co-segregate with the receptor status of the tumor cells. We postulated that cancer associated fibroblasts (CAFs) within the tumor stroma may exhibit subtype specific gene expression profiles and thus contribute to the biology of the disease in a subtype specific manner. Several studies have reported gene expression profile differences between CAFs and normal breast fibroblasts but in none of these studies were the results stratified based on tumor subtypes. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| United States | 2 | 1% |
| Saudi Arabia | 1 | <1% |
| Ukraine | 1 | <1% |
| Japan | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 140 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 29% |
| Researcher | 28 | 19% |
| Student > Master | 16 | 11% |
| Student > Bachelor | 14 | 9% |
| Student > Doctoral Student | 9 | 6% |
| Other | 16 | 11% |
| Unknown | 22 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 26% |
| Biochemistry, Genetics and Molecular Biology | 38 | 26% |
| Medicine and Dentistry | 28 | 19% |
| Immunology and Microbiology | 5 | 3% |
| Computer Science | 3 | 2% |
| Other | 11 | 7% |
| Unknown | 24 | 16% |
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 05 January 2017.
All research outputs
#7,356,343
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#501
of 2,444 outputs
Outputs of similar age
#53,365
of 186,944 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 33 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 78% 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 186,944 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 69% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.