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Identification and analysis of the RNA degrading complexes and machinery of Giardia lamblia using an in silico approach

Overview of attention for article published in BMC Genomics, November 2011
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Title
Identification and analysis of the RNA degrading complexes and machinery of Giardia lamblia using an in silico approach
Published in
BMC Genomics, November 2011
DOI 10.1186/1471-2164-12-586
Pubmed ID
Authors

Christopher W Williams, Heidi G Elmendorf

Abstract

RNA degradation is critical to the survival of all cells. With increasing evidence for pervasive transcription in cells, RNA degradation has gained recognition as a means of regulating gene expression. Yet, RNA degradation machinery has been studied extensively in only a few eukaryotic organisms, including Saccharomyces cerevisiae and humans. Giardia lamblia is a parasitic protist with unusual genomic traits: it is binucleated and tetraploid, has a very compact genome, displays a theme of genomic minimalism with cellular machinery commonly comprised of a reduced number of protein components, and has a remarkably large population of long, stable, noncoding, antisense RNAs.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
France 1 2%
Argentina 1 2%
Switzerland 1 2%
Unknown 38 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 26%
Researcher 7 17%
Student > Bachelor 5 12%
Other 4 10%
Professor > Associate Professor 3 7%
Other 6 14%
Unknown 6 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 36%
Biochemistry, Genetics and Molecular Biology 8 19%
Medicine and Dentistry 5 12%
Immunology and Microbiology 3 7%
Business, Management and Accounting 1 2%
Other 3 7%
Unknown 7 17%

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 01 December 2011.
All research outputs
#13,070,540
of 17,052,219 outputs
Outputs from BMC Genomics
#6,388
of 9,187 outputs
Outputs of similar age
#160,384
of 219,630 outputs
Outputs of similar age from BMC Genomics
#637
of 884 outputs
Altmetric has tracked 17,052,219 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,187 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 24th percentile – i.e., 24% 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 219,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 884 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.