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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OvMark: a user-friendly system for the identification of prognostic biomarkers in publically available ovarian cancer gene expression datasets
|
|---|---|
| Published in |
Molecular Cancer, October 2014
|
| DOI | 10.1186/1476-4598-13-241 |
| Pubmed ID | |
| Authors |
Stephen F Madden, Colin Clarke, Britta Stordal, Mark S Carey, Russell Broaddus, William M Gallagher, John Crown, Gordon B Mills, Bryan T Hennessy |
| Abstract |
Ovarian cancer has the lowest survival rate of all gynaecologic cancers and is characterised by a lack of early symptoms and frequent late stage diagnosis. There is a paucity of robust molecular markers that are independent of and complementary to clinical parameters such as disease stage and tumour grade. |
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 % |
|---|---|---|
| Unknown | 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 3% |
| Unknown | 31 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 28% |
| Student > Ph. D. Student | 7 | 22% |
| Student > Bachelor | 4 | 13% |
| Lecturer | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 28% |
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Medicine and Dentistry | 3 | 9% |
| Engineering | 3 | 9% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 8 | 25% |
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 26 October 2014.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from Molecular Cancer
#1,678
of 1,918 outputs
Outputs of similar age
#233,933
of 274,199 outputs
Outputs of similar age from Molecular Cancer
#41
of 42 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,918 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 1st percentile – i.e., 1% 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 274,199 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.