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A predicted functional gene network for the plant pathogen Phytophthora infestansas a framework for genomic biology

Overview of attention for article published in BMC Genomics, July 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Title
A predicted functional gene network for the plant pathogen Phytophthora infestansas a framework for genomic biology
Published in
BMC Genomics, July 2013
DOI 10.1186/1471-2164-14-483
Pubmed ID
Authors

Michael F Seidl, Adrian Schneider, Francine Govers, Berend Snel

Abstract

Associations between proteins are essential to understand cell biology. While this complex interplay between proteins has been studied in model organisms, it has not yet been described for the oomycete late blight pathogen Phytophthora infestans.

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

Geographical breakdown

Country Count As %
Brazil 3 6%
Ethiopia 1 2%
India 1 2%
Greece 1 2%
United States 1 2%
Unknown 43 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 26%
Student > Ph. D. Student 13 26%
Student > Master 7 14%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 8 16%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 60%
Biochemistry, Genetics and Molecular Biology 7 14%
Computer Science 5 10%
Psychology 1 2%
Medicine and Dentistry 1 2%
Other 2 4%
Unknown 4 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 January 2014.
All research outputs
#7,355,930
of 25,373,627 outputs
Outputs from BMC Genomics
#3,109
of 11,244 outputs
Outputs of similar age
#55,011
of 191,893 outputs
Outputs of similar age from BMC Genomics
#54
of 177 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 70% 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 191,893 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.