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Phytophthora capsici-tomato interaction features dramatic shifts in gene expression associated with a hemi-biotrophic lifestyle

Overview of attention for article published in Genome Biology, June 2013
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About this Attention Score

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

Mentioned by

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7 X users

Citations

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112 Dimensions

Readers on

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159 Mendeley
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Title
Phytophthora capsici-tomato interaction features dramatic shifts in gene expression associated with a hemi-biotrophic lifestyle
Published in
Genome Biology, June 2013
DOI 10.1186/gb-2013-14-6-r63
Pubmed ID
Authors

Julietta Jupe, Remco Stam, Andrew JM Howden, Jenny A Morris, Runxuan Zhang, Pete E Hedley, Edgar Huitema

Abstract

Plant-microbe interactions feature complex signal interplay between pathogens and their hosts. Phytophthora species comprise a destructive group of fungus-like plant pathogens, collectively affecting a wide range of plants important to agriculture and natural ecosystems. Despite the availability of genome sequences of both hosts and microbes, little is known about the signal interplay between them during infection. In particular, accurate descriptions of coordinate relationships between host and microbe transcriptional programs are lacking.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Unknown 154 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 21%
Researcher 26 16%
Student > Bachelor 21 13%
Student > Master 20 13%
Student > Doctoral Student 10 6%
Other 19 12%
Unknown 29 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 60%
Biochemistry, Genetics and Molecular Biology 24 15%
Environmental Science 2 1%
Unspecified 1 <1%
Veterinary Science and Veterinary Medicine 1 <1%
Other 4 3%
Unknown 32 20%
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 28 June 2013.
All research outputs
#7,848,328
of 25,373,627 outputs
Outputs from Genome Biology
#3,383
of 4,467 outputs
Outputs of similar age
#64,064
of 208,944 outputs
Outputs of similar age from Genome Biology
#48
of 66 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 68th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 24th percentile – i.e., 24% 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 208,944 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 66 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.