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Genome-wide transcriptional response of Trichoderma reesei to lignocellulose using RNA sequencing and comparison with Aspergillus niger

Overview of attention for article published in BMC Genomics, January 2013
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Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
130 Mendeley
citeulike
1 CiteULike
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Title
Genome-wide transcriptional response of Trichoderma reesei to lignocellulose using RNA sequencing and comparison with Aspergillus niger
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-541
Pubmed ID
Authors

Laure Ries, Steven T Pullan, Stéphane Delmas, Sunir Malla, Martin J Blythe, David B Archer

Abstract

A major part of second generation biofuel production is the enzymatic saccharification of lignocellulosic biomass into fermentable sugars. Many fungi produce enzymes that can saccarify lignocellulose and cocktails from several fungi, including well-studied species such as Trichoderma reesei and Aspergillus niger, are available commercially for this process. Such commercially-available enzyme cocktails are not necessarily representative of the array of enzymes used by the fungi themselves when faced with a complex lignocellulosic material. The global induction of genes in response to exposure of T. reesei to wheat straw was explored using RNA-seq and compared to published RNA-seq data and model of how A. niger senses and responds to wheat straw.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
Sweden 1 <1%
United States 1 <1%
Unknown 126 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 25%
Researcher 25 19%
Student > Master 12 9%
Student > Bachelor 11 8%
Student > Doctoral Student 11 8%
Other 25 19%
Unknown 14 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 55%
Biochemistry, Genetics and Molecular Biology 32 25%
Environmental Science 3 2%
Engineering 2 2%
Nursing and Health Professions 1 <1%
Other 4 3%
Unknown 17 13%

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 27 September 2013.
All research outputs
#7,431,385
of 12,378,406 outputs
Outputs from BMC Genomics
#4,205
of 7,251 outputs
Outputs of similar age
#74,906
of 154,491 outputs
Outputs of similar age from BMC Genomics
#90
of 162 outputs
Altmetric has tracked 12,378,406 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,251 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 36th percentile – i.e., 36% 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 154,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.