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Elucidating how the saprophytic fungus Aspergillus nidulans uses the plant polyester suberin as carbon source

Overview of attention for article published in BMC Genomics, July 2014
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Title
Elucidating how the saprophytic fungus Aspergillus nidulans uses the plant polyester suberin as carbon source
Published in
BMC Genomics, July 2014
DOI 10.1186/1471-2164-15-613
Pubmed ID
Authors

Isabel Martins, Diego O Hartmann, Paula C Alves, Celso Martins, Helga Garcia, Céline C Leclercq, Rui Ferreira, Ji He, Jenny Renaut, Jörg D Becker, Cristina Silva Pereira

Abstract

Lipid polymers in plant cell walls, such as cutin and suberin, build recalcitrant hydrophobic protective barriers. Their degradation is of foremost importance for both plant pathogenic and saprophytic fungi. Regardless of numerous reports on fungal degradation of emulsified fatty acids or cutin, and on fungi-plant interactions, the pathways involved in the degradation and utilisation of suberin remain largely overlooked. As a structural component of the plant cell wall, suberin isolation, in general, uses harsh depolymerisation methods that destroy its macromolecular structure. We recently overcame this limitation isolating suberin macromolecules in a near-native state.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 2%
Portugal 1 1%
Germany 1 1%
Unknown 86 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 23%
Researcher 13 14%
Student > Master 11 12%
Student > Doctoral Student 9 10%
Other 6 7%
Other 14 16%
Unknown 16 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 46%
Biochemistry, Genetics and Molecular Biology 12 13%
Environmental Science 4 4%
Engineering 4 4%
Medicine and Dentistry 3 3%
Other 6 7%
Unknown 20 22%
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 14 October 2014.
All research outputs
#20,879,072
of 23,498,099 outputs
Outputs from BMC Genomics
#9,420
of 10,787 outputs
Outputs of similar age
#194,357
of 230,187 outputs
Outputs of similar age from BMC Genomics
#174
of 205 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 230,187 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.