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Detecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study

Overview of attention for article published in BMC Systems Biology, August 2012
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
43 Mendeley
citeulike
2 CiteULike
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Title
Detecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study
Published in
BMC Systems Biology, August 2012
DOI 10.1186/1752-0509-6-112
Pubmed ID
Authors

Mohammed Alshalalfa, Mohammed Alshalalfa, Gary D Bader, Anna Goldenberg, Quaid Morris, Reda Alhajj

Abstract

The use of biological molecular network information for diagnostic and prognostic purposes and elucidation of molecular disease mechanism is a key objective in systems biomedicine. The network of regulatory miRNA-target and functional protein interactions is a rich source of information to elucidate the function and the prognostic value of miRNAs in cancer. The objective of this study is to identify miRNAs that have high influence on target protein complexes in prostate cancer as a case study. This could provide biomarkers or therapeutic targets relevant for prostate cancer treatment.

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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Italy 1 2%
Canada 1 2%
Unknown 40 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 26%
Researcher 9 21%
Professor > Associate Professor 6 14%
Student > Bachelor 4 9%
Student > Master 4 9%
Other 6 14%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 42%
Biochemistry, Genetics and Molecular Biology 10 23%
Medicine and Dentistry 6 14%
Computer Science 4 9%
Physics and Astronomy 1 2%
Other 1 2%
Unknown 3 7%

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 23 November 2012.
All research outputs
#2,310,579
of 4,507,144 outputs
Outputs from BMC Systems Biology
#312
of 670 outputs
Outputs of similar age
#36,844
of 78,505 outputs
Outputs of similar age from BMC Systems Biology
#19
of 36 outputs
Altmetric has tracked 4,507,144 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 670 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 42nd percentile – i.e., 42% 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 78,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.