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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gene expression identifies heterogeneity of metastatic behavior among high-grade non-translocation associated soft tissue sarcomas
|
|---|---|
| Published in |
Journal of Translational Medicine, June 2014
|
| DOI | 10.1186/1479-5876-12-176 |
| Pubmed ID | |
| Authors |
Keith M Skubitz, Amy PN Skubitz, Wayne W Xu, Xianghua Luo, Pauline Lagarde, Jean-Michel Coindre, Frédéric Chibon |
| Abstract |
The biologic heterogeneity of soft tissue sarcomas (STS), even within histological subtypes, complicates treatment. In earlier studies, gene expression patterns that distinguish two subsets of clear cell renal carcinoma (RCC), serous ovarian carcinoma (OVCA), and aggressive fibromatosis (AF) were used to separate 73 STS into two or four groups with different probabilities of developing metastatic disease (PrMet). This study was designed to confirm our earlier observations in a larger independent data set. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 18% |
| Student > Bachelor | 1 | 6% |
| Professor | 1 | 6% |
| Student > Master | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 8 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 12% |
| Computer Science | 2 | 12% |
| Agricultural and Biological Sciences | 2 | 12% |
| Unknown | 11 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 September 2014.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from Journal of Translational Medicine
#3,198
of 4,635 outputs
Outputs of similar age
#168,797
of 242,708 outputs
Outputs of similar age from Journal of Translational Medicine
#50
of 96 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 26th percentile – i.e., 26% 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 242,708 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.