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Genome wide screening of RNAi factors of Sf21 cells reveal several novel pathway associated proteins

Overview of attention for article published in BMC Genomics, September 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Title
Genome wide screening of RNAi factors of Sf21 cells reveal several novel pathway associated proteins
Published in
BMC Genomics, September 2014
DOI 10.1186/1471-2164-15-775
Pubmed ID
Authors

Subhanita Ghosh, Pavan Kumar Kakumani, Ajit Kumar, Pawan Malhotra, Sunil K Mukherjee, Raj K Bhatnagar

Abstract

RNA interference (RNAi) leads to sequence specific knock-down of gene expression and has emerged as an important tool to analyse gene functions, pathway analysis and gene therapy. Although RNAi is a conserved cellular process involving common elements and factors, species-specific differences have been observed among different eukaryotes. Identification of components for RNAi pathway is pursued intensively and successful genome-wide screens have been performed for components of RNAi pathways in various organisms. Functional comparative genomics analysis offers evolutionary insight that forms basis of discoveries of novel RNAi-factors within related organisms. Keeping in view the academic and commercial utility of insect derived cell-line from Spodoptera frugiperda, we pursued the identification and functional analysis of components of RNAi-machinery of Sf21 cell-line using genome-wide application.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Student > Master 10 20%
Researcher 6 12%
Student > Doctoral Student 5 10%
Student > Bachelor 3 6%
Other 9 18%
Unknown 7 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 52%
Biochemistry, Genetics and Molecular Biology 12 24%
Medicine and Dentistry 2 4%
Unspecified 1 2%
Unknown 9 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 September 2014.
All research outputs
#6,223,996
of 22,763,032 outputs
Outputs from BMC Genomics
#2,700
of 10,638 outputs
Outputs of similar age
#61,883
of 238,628 outputs
Outputs of similar age from BMC Genomics
#47
of 197 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,638 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 238,628 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.