| Title |
Sample-level enrichment analysis unravels shared stress phenotypes among multiple cancer types
|
|---|---|
| Published in |
Genome Medicine, March 2012
|
| DOI | 10.1186/gm327 |
| Pubmed ID | |
| Authors |
Gunes Gundem, Nuria Lopez-Bigas |
| Abstract |
Adaptation to stress signals in the tumor microenvironment is a crucial step towards carcinogenic phenotype. The adaptive alterations attained by cells to withstand different types of insults are collectively referred to as the stress phenotypes of cancers. In this manuscript we explore the interrelation of different stress phenotypes in multiple cancer types and ask if these phenotypes could be used to explain prognostic differences among tumor samples. |
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 Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 3% |
| United Kingdom | 2 | 3% |
| Bangladesh | 1 | 2% |
| Belgium | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 55 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 35% |
| Student > Ph. D. Student | 12 | 19% |
| Student > Master | 7 | 11% |
| Other | 4 | 6% |
| Student > Bachelor | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 48% |
| Biochemistry, Genetics and Molecular Biology | 9 | 15% |
| Medicine and Dentistry | 8 | 13% |
| Computer Science | 6 | 10% |
| Nursing and Health Professions | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 6 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 13 April 2012.
All research outputs
#4,167,683
of 25,371,288 outputs
Outputs from Genome Medicine
#832
of 1,585 outputs
Outputs of similar age
#26,280
of 172,466 outputs
Outputs of similar age from Genome Medicine
#9
of 24 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 47th percentile – i.e., 47% 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 172,466 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 84% of its contemporaries.
We're also able to compare this research output to 24 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 58% of its contemporaries.