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Predicting response to vascular endothelial growth factor inhibitor and chemotherapy in metastatic colorectal cancer

Overview of attention for article published in BMC Cancer, November 2014
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1 tweeter

Citations

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Readers on

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35 Mendeley
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Title
Predicting response to vascular endothelial growth factor inhibitor and chemotherapy in metastatic colorectal cancer
Published in
BMC Cancer, November 2014
DOI 10.1186/1471-2407-14-887
Pubmed ID
Authors

Petra Martin, Sinead Noonan, Michael P Mullen, Caitriona Scaife, Miriam Tosetto, Blathnaid Nolan, Kieran Wynne, John Hyland, Kieran Sheahan, Giuliano Elia, Diarmuid O’Donoghue, David Fennelly, Jacintha O’Sullivan

Abstract

Bevacizumab improves progression free survival (PFS) and overall survival (OS) in metastatic colorectal cancer patients however currently there are no biomarkers that predict response to this treatment. The aim of this study was to assess if differential protein expression can differentiate patients who respond to chemotherapy and bevacizumab, and to assess if select proteins correlate with patient survival.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 14%
Student > Ph. D. Student 5 14%
Student > Doctoral Student 5 14%
Other 4 11%
Lecturer 2 6%
Other 9 26%
Unknown 5 14%
Readers by discipline Count As %
Medicine and Dentistry 8 23%
Engineering 3 9%
Biochemistry, Genetics and Molecular Biology 3 9%
Agricultural and Biological Sciences 3 9%
Computer Science 2 6%
Other 7 20%
Unknown 9 26%

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 27 November 2014.
All research outputs
#9,905,817
of 12,372,945 outputs
Outputs from BMC Cancer
#3,017
of 4,558 outputs
Outputs of similar age
#184,666
of 274,521 outputs
Outputs of similar age from BMC Cancer
#384
of 597 outputs
Altmetric has tracked 12,372,945 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,558 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 19th percentile – i.e., 19% 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 274,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 597 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.