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Identification of novel non-coding small RNAs from Streptococcus pneumoniae TIGR4 using high-resolution genome tiling arrays

Overview of attention for article published in BMC Genomics, June 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
63 Mendeley
citeulike
3 CiteULike
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Title
Identification of novel non-coding small RNAs from Streptococcus pneumoniae TIGR4 using high-resolution genome tiling arrays
Published in
BMC Genomics, June 2010
DOI 10.1186/1471-2164-11-350
Pubmed ID
Authors

Ranjit Kumar, Pratik Shah, Edwin Swiatlo, Shane C Burgess, Mark L Lawrence, Bindu Nanduri

Abstract

The identification of non-coding transcripts in human, mouse, and Escherichia coli has revealed their widespread occurrence and functional importance in both eukaryotic and prokaryotic life. In prokaryotes, studies have shown that non-coding transcripts participate in a broad range of cellular functions like gene regulation, stress and virulence. However, very little is known about non-coding transcripts in Streptococcus pneumoniae (pneumococcus), an obligate human respiratory pathogen responsible for significant worldwide morbidity and mortality. Tiling microarrays enable genome wide mRNA profiling as well as identification of novel transcripts at a high-resolution.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Researcher 9 14%
Professor > Associate Professor 8 13%
Student > Master 7 11%
Student > Bachelor 6 10%
Other 15 24%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 54%
Biochemistry, Genetics and Molecular Biology 9 14%
Engineering 3 5%
Immunology and Microbiology 3 5%
Veterinary Science and Veterinary Medicine 2 3%
Other 6 10%
Unknown 6 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 February 2013.
All research outputs
#816,801
of 3,636,264 outputs
Outputs from BMC Genomics
#857
of 3,348 outputs
Outputs of similar age
#25,938
of 98,963 outputs
Outputs of similar age from BMC Genomics
#52
of 200 outputs
Altmetric has tracked 3,636,264 research outputs across all sources so far. This one has received more attention than most of these and is in the 63rd percentile.
So far Altmetric has tracked 3,348 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 67% 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 98,963 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 72% of its contemporaries.
We're also able to compare this research output to 200 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.