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Characterization and differential expression of microRNAs elicited by sulfur deprivation in Chlamydomonas reinhardtii

Overview of attention for article published in BMC Genomics, March 2012
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Title
Characterization and differential expression of microRNAs elicited by sulfur deprivation in Chlamydomonas reinhardtii
Published in
BMC Genomics, March 2012
DOI 10.1186/1471-2164-13-108
Pubmed ID
Authors

Longfei Shu, Zhangli Hu

Abstract

microRNAs (miRNAs) have been found to play an essential role in the modulation of numerous biological processes in eukaryotes. Chlamydomonas reinhardtii is an ideal model organism for the study of many metabolic processes including responses to sulfur-deprivation. We used a deep sequencing platform to extensively profile and identify changes in the miRNAs expression that occurred under sulfur-replete and sulfur-deprived conditions. The aim of our research was to characterize the differential expression of Chlamydomonas miRNAs under sulfur-deprived conditions, and subsequently, the target genes of miRNA involved in sulfur-deprivation were further predicted and analyzed.

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The data shown below were collected from the profile of 1 X user 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Chile 1 2%
Netherlands 1 2%
Germany 1 2%
Unknown 49 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Researcher 10 19%
Student > Doctoral Student 7 13%
Student > Postgraduate 3 6%
Professor 3 6%
Other 14 26%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 53%
Biochemistry, Genetics and Molecular Biology 10 19%
Environmental Science 5 9%
Engineering 2 4%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 5 9%
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 23 March 2012.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#135,165
of 172,651 outputs
Outputs of similar age from BMC Genomics
#66
of 85 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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