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Enhanced whole genome sequence and annotation of Clostridium stercorarium DSM8532T using RNA-seq transcriptomics and high-throughput proteomics

Overview of attention for article published in BMC Genomics, July 2014
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67 Mendeley
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Title
Enhanced whole genome sequence and annotation of Clostridium stercorarium DSM8532T using RNA-seq transcriptomics and high-throughput proteomics
Published in
BMC Genomics, July 2014
DOI 10.1186/1471-2164-15-567
Pubmed ID
Authors

John J Schellenberg, Tobin J Verbeke, Peter McQueen, Oleg V Krokhin, Xiangli Zhang, Graham Alvare, Brian Fristensky, Gerhard G Thallinger, Bernard Henrissat, John A Wilkins, David B Levin, Richard Sparling

Abstract

Growing interest in cellulolytic clostridia with potential for consolidated biofuels production is mitigated by low conversion of raw substrates to desired end products. Strategies to improve conversion are likely to benefit from emerging techniques to define molecular systems biology of these organisms. Clostridium stercorarium DSM8532T is an anaerobic thermophile with demonstrated high ethanol production on cellulose and hemicellulose. Although several lignocellulolytic enzymes in this organism have been well-characterized, details concerning carbohydrate transporters and central metabolism have not been described. Therefore, the goal of this study is to define an improved whole genome sequence (WGS) for this organism using in-depth molecular profiling by RNA-seq transcriptomics and tandem mass spectrometry-based proteomics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
United States 1 1%
Unknown 64 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 30%
Researcher 10 15%
Student > Master 8 12%
Student > Doctoral Student 7 10%
Other 5 7%
Other 11 16%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 36%
Biochemistry, Genetics and Molecular Biology 12 18%
Immunology and Microbiology 6 9%
Engineering 5 7%
Computer Science 3 4%
Other 13 19%
Unknown 4 6%
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 20 February 2015.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#144,147
of 240,374 outputs
Outputs of similar age from BMC Genomics
#157
of 263 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 240,374 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 263 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.