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A Systems Approach Uncovers Restrictions for Signal Interactions Regulating Genome-wide Responses to Nutritional Cues in Arabidopsis

Overview of attention for article published in PLoS Computational Biology, March 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
84 Mendeley
citeulike
1 CiteULike
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Title
A Systems Approach Uncovers Restrictions for Signal Interactions Regulating Genome-wide Responses to Nutritional Cues in Arabidopsis
Published in
PLoS Computational Biology, March 2009
DOI 10.1371/journal.pcbi.1000326
Pubmed ID
Authors

Gabriel Krouk, Daniel Tranchina, Laurence Lejay, Alexis A. Cruikshank, Dennis Shasha, Gloria M. Coruzzi, Rodrigo A. Gutiérrez

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 4 5%
United States 2 2%
Brazil 1 1%
India 1 1%
Argentina 1 1%
United Kingdom 1 1%
Spain 1 1%
China 1 1%
Unknown 72 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 37%
Student > Ph. D. Student 19 23%
Professor > Associate Professor 6 7%
Student > Doctoral Student 5 6%
Professor 4 5%
Other 14 17%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 74%
Biochemistry, Genetics and Molecular Biology 6 7%
Economics, Econometrics and Finance 2 2%
Medicine and Dentistry 2 2%
Computer Science 2 2%
Other 6 7%
Unknown 4 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 03 January 2020.
All research outputs
#6,604,748
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#4,549
of 8,964 outputs
Outputs of similar age
#31,446
of 107,998 outputs
Outputs of similar age from PLoS Computational Biology
#23
of 51 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 49th percentile – i.e., 49% 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 107,998 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 70% of its contemporaries.
We're also able to compare this research output to 51 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 54% of its contemporaries.