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Targeting molecular networks for drug research

Overview of attention for article published in Frontiers in Genetics, June 2014
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
9 X users
peer_reviews
1 peer review site
googleplus
1 Google+ user

Readers on

mendeley
71 Mendeley
citeulike
1 CiteULike
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Title
Targeting molecular networks for drug research
Published in
Frontiers in Genetics, June 2014
DOI 10.3389/fgene.2014.00160
Pubmed ID
Authors

José P. Pinto, Rui S. R. Machado, Joana M. Xavier, Matthias E. Futschik

Abstract

The study of molecular networks has recently moved into the limelight of biomedical research. While it has certainly provided us with plenty of new insights into cellular mechanisms, the challenge now is how to modify or even restructure these networks. This is especially true for human diseases, which can be regarded as manifestations of distorted states of molecular networks. Of the possible interventions for altering networks, the use of drugs is presently the most feasible. In this mini-review, we present and discuss some exemplary approaches of how analysis of molecular interaction networks can contribute to pharmacology (e.g., by identifying new drug targets or prediction of drug side effects), as well as list pointers to relevant resources and software to guide future research. We also outline recent progress in the use of drugs for in vitro reprogramming of cells, which constitutes an example par excellence for altering molecular interaction networks with drugs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 1%
Mexico 1 1%
Poland 1 1%
Unknown 66 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Researcher 11 15%
Student > Master 8 11%
Student > Doctoral Student 5 7%
Professor > Associate Professor 4 6%
Other 7 10%
Unknown 14 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 21%
Biochemistry, Genetics and Molecular Biology 13 18%
Computer Science 10 14%
Chemistry 5 7%
Medicine and Dentistry 4 6%
Other 8 11%
Unknown 16 23%
Attention Score in Context

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 11 August 2014.
All research outputs
#4,417,993
of 22,757,090 outputs
Outputs from Frontiers in Genetics
#1,325
of 11,758 outputs
Outputs of similar age
#43,726
of 228,065 outputs
Outputs of similar age from Frontiers in Genetics
#21
of 123 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,758 research outputs from this source. They receive a mean Attention Score of 3.7. 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 228,065 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 80% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.