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Computational models in plant-pathogen interactions: the case of Phytophthora infestans

Overview of attention for article published in Theoretical Biology and Medical Modelling, November 2009
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Mentioned by

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1 Google+ user

Citations

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10 Dimensions

Readers on

mendeley
127 Mendeley
citeulike
2 CiteULike
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Title
Computational models in plant-pathogen interactions: the case of Phytophthora infestans
Published in
Theoretical Biology and Medical Modelling, November 2009
DOI 10.1186/1742-4682-6-24
Pubmed ID
Authors

Andrés Pinzón, Emiliano Barreto, Adriana Bernal, Luke Achenie, Andres F González Barrios, Raúl Isea, Silvia Restrepo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 3 2%
India 3 2%
Brazil 3 2%
United States 3 2%
United Kingdom 1 <1%
Hungary 1 <1%
Unknown 113 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 28%
Researcher 23 18%
Student > Master 20 16%
Professor > Associate Professor 10 8%
Professor 6 5%
Other 19 15%
Unknown 13 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 67%
Biochemistry, Genetics and Molecular Biology 10 8%
Computer Science 6 5%
Environmental Science 4 3%
Chemical Engineering 1 <1%
Other 4 3%
Unknown 17 13%
Attention Score in Context

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 19 February 2014.
All research outputs
#15,547,315
of 23,106,390 outputs
Outputs from Theoretical Biology and Medical Modelling
#169
of 287 outputs
Outputs of similar age
#78,514
of 94,188 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#3
of 6 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 27th percentile – i.e., 27% 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 94,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.