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Genome-wide dynamic transcriptional profiling in clostridium beijerinckii NCIMB 8052 using single-nucleotide resolution RNA-Seq

Overview of attention for article published in BMC Genomics, March 2012
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3 X users

Citations

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71 Dimensions

Readers on

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102 Mendeley
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1 CiteULike
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Title
Genome-wide dynamic transcriptional profiling in clostridium beijerinckii NCIMB 8052 using single-nucleotide resolution RNA-Seq
Published in
BMC Genomics, March 2012
DOI 10.1186/1471-2164-13-102
Pubmed ID
Authors

Yi Wang, Xiangzhen Li, Yuejian Mao, Hans P Blaschek

Abstract

Clostridium beijerinckii is a prominent solvent-producing microbe that has great potential for biofuel and chemical industries. Although transcriptional analysis is essential to understand gene functions and regulation and thus elucidate proper strategies for further strain improvement, limited information is available on the genome-wide transcriptional analysis for C. beijerinckii.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Czechia 1 <1%
New Zealand 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 97 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 31%
Researcher 24 24%
Student > Master 14 14%
Student > Bachelor 8 8%
Student > Doctoral Student 4 4%
Other 12 12%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 50%
Biochemistry, Genetics and Molecular Biology 21 21%
Engineering 5 5%
Immunology and Microbiology 4 4%
Chemistry 3 3%
Other 7 7%
Unknown 11 11%
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 07 April 2012.
All research outputs
#14,725,323
of 22,663,969 outputs
Outputs from BMC Genomics
#6,106
of 10,614 outputs
Outputs of similar age
#99,116
of 159,946 outputs
Outputs of similar age from BMC Genomics
#35
of 58 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 159,946 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 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.