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Identification of molecular pathways affected by pterostilbene, a natural dimethylether analog of resveratrol

Overview of attention for article published in BMC Medical Genomics, March 2008
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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 (89th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Identification of molecular pathways affected by pterostilbene, a natural dimethylether analog of resveratrol
Published in
BMC Medical Genomics, March 2008
DOI 10.1186/1755-8794-1-7
Pubmed ID
Authors

Zhiqiang Pan, Ameeta K Agarwal, Tao Xu, Qin Feng, Scott R Baerson, Stephen O Duke, Agnes M Rimando

Abstract

Pterostilbene, a naturally occurring phenolic compound produced by agronomically important plant genera such as Vitis and Vacciunium, is a phytoalexin exhibiting potent antifungal activity. Additionally, recent studies have demonstrated several important pharmacological properties associated with pterostilbene. Despite this, a systematic study of the effects of pterostilbene on eukaryotic cells at the molecular level has not been previously reported. Thus, the aim of the present study was to identify the cellular pathways affected by pterostilbene by performing transcript profiling studies, employing the model yeast Saccharomyces cerevisiae.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
Spain 1 2%
United States 1 2%
Unknown 59 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 27%
Student > Master 11 18%
Student > Ph. D. Student 8 13%
Student > Bachelor 5 8%
Student > Doctoral Student 4 6%
Other 10 16%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 40%
Biochemistry, Genetics and Molecular Biology 11 18%
Chemistry 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Medicine and Dentistry 3 5%
Other 7 11%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 17 July 2017.
All research outputs
#2,811,308
of 22,751,628 outputs
Outputs from BMC Medical Genomics
#114
of 1,220 outputs
Outputs of similar age
#8,422
of 81,635 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 3 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,220 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 90% 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 81,635 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 89% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them