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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Discovery Analysis of TCGA Data Reveals Association between Germline Genotype and Survival in Ovarian Cancer Patients
|
|---|---|
| Published in |
PLOS ONE, March 2013
|
| DOI | 10.1371/journal.pone.0055037 |
| Pubmed ID | |
| Authors |
Rosemary Braun, Richard Finney, Chunhua Yan, Qing-Rong Chen, Ying Hu, Michael Edmonson, Daoud Meerzaman, Kenneth Buetow |
| Abstract |
Ovarian cancer remains a significant public health burden, with the highest mortality rate of all the gynecological cancers. This is attributable to the late stage at which the majority of ovarian cancers are diagnosed, coupled with the low and variable response of advanced tumors to standard chemotherapies. To date, clinically useful predictors of treatment response remain lacking. Identifying the genetic determinants of ovarian cancer survival and treatment response is crucial to the development of prognostic biomarkers and personalized therapies that may improve outcomes for the late-stage patients who comprise the majority of cases. |
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 % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Mexico | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 55 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 26% |
| Researcher | 13 | 22% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 5 | 9% |
| Other | 4 | 7% |
| Other | 7 | 12% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 36% |
| Biochemistry, Genetics and Molecular Biology | 9 | 16% |
| Medicine and Dentistry | 6 | 10% |
| Mathematics | 4 | 7% |
| Computer Science | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 8 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 March 2013.
All research outputs
#13,885,035
of 22,701,287 outputs
Outputs from PLOS ONE
#111,974
of 193,818 outputs
Outputs of similar age
#110,135
of 197,559 outputs
Outputs of similar age from PLOS ONE
#2,819
of 5,437 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,818 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 40th percentile – i.e., 40% 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 197,559 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,437 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.