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Biomarker robustness reveals the PDGF network as driving disease outcome in ovarian cancer patients in multiple studies

Overview of attention for article published in BMC Systems Biology, January 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
5 tweeters
patent
1 patent

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
2 CiteULike
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Title
Biomarker robustness reveals the PDGF network as driving disease outcome in ovarian cancer patients in multiple studies
Published in
BMC Systems Biology, January 2012
DOI 10.1186/1752-0509-6-3
Pubmed ID
Authors

Rotem Ben-Hamo, Sol Efroni

Abstract

Ovarian cancer causes more deaths than any other gynecological cancer. Identifying the molecular mechanisms that drive disease progress in ovarian cancer is a critical step in providing therapeutics, improving diagnostics, and affiliating clinical behavior with disease etiology. Identification of molecular interactions that stratify prognosis is key in facilitating a clinical-molecular perspective.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Mexico 1 2%
United Kingdom 1 2%
Switzerland 1 2%
Unknown 39 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 32%
Researcher 12 27%
Professor > Associate Professor 4 9%
Other 3 7%
Student > Bachelor 3 7%
Other 6 14%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 55%
Biochemistry, Genetics and Molecular Biology 4 9%
Computer Science 4 9%
Medicine and Dentistry 4 9%
Psychology 2 5%
Other 4 9%
Unknown 2 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 19 December 2013.
All research outputs
#3,283,011
of 17,355,315 outputs
Outputs from BMC Systems Biology
#122
of 1,115 outputs
Outputs of similar age
#37,569
of 226,375 outputs
Outputs of similar age from BMC Systems Biology
#8
of 43 outputs
Altmetric has tracked 17,355,315 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,115 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 88% 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 226,375 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 83% of its contemporaries.
We're also able to compare this research output to 43 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.