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Comparative analysis of secreted protein evolution using expressed sequence tags from four poplar leaf rusts (Melampsora spp.)

Overview of attention for article published in BMC Genomics, July 2010
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
97 Mendeley
citeulike
1 CiteULike
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Title
Comparative analysis of secreted protein evolution using expressed sequence tags from four poplar leaf rusts (Melampsora spp.)
Published in
BMC Genomics, July 2010
DOI 10.1186/1471-2164-11-422
Pubmed ID
Authors

David L Joly, Nicolas Feau, Philippe Tanguay, Richard C Hamelin

Abstract

Obligate biotrophs such as rust fungi are believed to establish long-term relationships by modulating plant defenses through a plethora of effector proteins, whose most recognizable feature is the presence of a signal peptide for secretion. Since the phenotypes of these effectors extend to host cells, their genes are expected to be under accelerated evolution stimulated by host-pathogen coevolutionary arms races. Recently, whole genome sequence data has allowed the prediction of secretomes, facilitating the identification of putative effectors.

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

Geographical breakdown

Country Count As %
France 2 2%
Canada 2 2%
Malaysia 1 1%
Germany 1 1%
Australia 1 1%
Mexico 1 1%
Japan 1 1%
United States 1 1%
Unknown 87 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 28%
Student > Ph. D. Student 17 18%
Student > Master 11 11%
Student > Doctoral Student 6 6%
Student > Bachelor 5 5%
Other 21 22%
Unknown 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 69%
Biochemistry, Genetics and Molecular Biology 11 11%
Unspecified 2 2%
Arts and Humanities 2 2%
Environmental Science 1 1%
Other 4 4%
Unknown 10 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 June 2020.
All research outputs
#3,621,863
of 22,705,019 outputs
Outputs from BMC Genomics
#1,399
of 10,624 outputs
Outputs of similar age
#15,267
of 94,320 outputs
Outputs of similar age from BMC Genomics
#3
of 28 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 86% 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 94,320 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 83% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.