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Post-genomic analyses of fungal lignocellulosic biomass degradation reveal the unexpected potential of the plant pathogen Ustilago maydis

Overview of attention for article published in BMC Genomics, February 2012
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2 X users

Citations

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130 Dimensions

Readers on

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175 Mendeley
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Title
Post-genomic analyses of fungal lignocellulosic biomass degradation reveal the unexpected potential of the plant pathogen Ustilago maydis
Published in
BMC Genomics, February 2012
DOI 10.1186/1471-2164-13-57
Pubmed ID
Authors

Marie Couturier, David Navarro, Caroline Olivé, Didier Chevret, Mireille Haon, Anne Favel, Laurence Lesage-Meessen, Bernard Henrissat, Pedro M Coutinho, Jean-Guy Berrin

Abstract

Filamentous fungi are potent biomass degraders due to their ability to thrive in ligno(hemi)cellulose-rich environments. During the last decade, fungal genome sequencing initiatives have yielded abundant information on the genes that are putatively involved in lignocellulose degradation. At present, additional experimental studies are essential to provide insights into the fungal secreted enzymatic pools involved in lignocellulose degradation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Germany 1 <1%
France 1 <1%
Italy 1 <1%
Finland 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 167 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 24%
Student > Ph. D. Student 32 18%
Student > Master 26 15%
Student > Bachelor 13 7%
Student > Doctoral Student 12 7%
Other 26 15%
Unknown 24 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 89 51%
Biochemistry, Genetics and Molecular Biology 33 19%
Engineering 4 2%
Environmental Science 4 2%
Chemistry 3 2%
Other 9 5%
Unknown 33 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 March 2012.
All research outputs
#15,288,252
of 24,241,559 outputs
Outputs from BMC Genomics
#5,955
of 10,929 outputs
Outputs of similar age
#161,691
of 254,808 outputs
Outputs of similar age from BMC Genomics
#140
of 273 outputs
Altmetric has tracked 24,241,559 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,929 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 41st percentile – i.e., 41% 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 254,808 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 273 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.