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Analysis of the quantitative balance between insulin-like growth factor (IGF)-1 ligand, receptor, and binding protein levels to predict cell sensitivity and therapeutic efficacy

Overview of attention for article published in BMC Systems Biology, August 2014
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2 tweeters

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Title
Analysis of the quantitative balance between insulin-like growth factor (IGF)-1 ligand, receptor, and binding protein levels to predict cell sensitivity and therapeutic efficacy
Published in
BMC Systems Biology, August 2014
DOI 10.1186/s12918-014-0098-y
Pubmed ID
Authors

Dan Tian, Pamela K Kreeger

Abstract

The insulin-like growth factor (IGF) system impacts cell proliferation and is highly activated in ovarian cancer. While an attractive therapeutic target, the IGF system is complex with two receptors (IGF1R, IGF2R), two ligands (IGF1, IGF2), and at least six high affinity IGF-binding proteins (IGFBPs) that regulate the bioavailability of IGF ligands. We hypothesized that a quantitative balance between these different network components regulated cell response.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 39%
Researcher 4 14%
Other 3 11%
Student > Doctoral Student 2 7%
Professor 2 7%
Other 5 18%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 21%
Engineering 5 18%
Medicine and Dentistry 3 11%
Biochemistry, Genetics and Molecular Biology 3 11%
Nursing and Health Professions 2 7%
Other 6 21%
Unknown 3 11%

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 March 2015.
All research outputs
#3,412,553
of 4,818,502 outputs
Outputs from BMC Systems Biology
#505
of 718 outputs
Outputs of similar age
#81,316
of 120,126 outputs
Outputs of similar age from BMC Systems Biology
#20
of 27 outputs
Altmetric has tracked 4,818,502 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 718 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 11th percentile – i.e., 11% 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 120,126 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.