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Transcriptome Profiling of Giardia intestinalis Using Strand-specific RNA-Seq

Overview of attention for article published in PLoS Computational Biology, March 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 blog
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Title
Transcriptome Profiling of Giardia intestinalis Using Strand-specific RNA-Seq
Published in
PLoS Computational Biology, March 2013
DOI 10.1371/journal.pcbi.1003000
Pubmed ID
Authors

Oscar Franzén, Jon Jerlström-Hultqvist, Elin Einarsson, Johan Ankarklev, Marcela Ferella, Björn Andersson, Staffan G. Svärd

Abstract

Giardia intestinalis is a common cause of diarrheal disease and it consists of eight genetically distinct genotypes or assemblages (A-H). Only assemblages A and B infect humans and are suggested to represent two different Giardia species. Correlations exist between assemblage type and host-specificity and to some extent symptoms. Phenotypical differences have been documented between assemblages and genome sequences are available for A, B and E. We have characterized and compared the polyadenylated transcriptomes of assemblages A, B and E. Four genetically different isolates were studied (WB (AI), AS175 (AII), P15 (E) and GS (B)) using paired-end, strand-specific RNA-seq. Most of the genome was transcribed in trophozoites grown in vitro, but at vastly different levels. RNA-seq confirmed many of the present annotations and refined the current genome annotation. Gene expression divergence was found to recapitulate the known phylogeny, and uncovered lineage-specific differences in expression. Polyadenylation sites were mapped for over 70% of the genes and revealed many examples of conserved and unexpectedly long 3' UTRs. 28 open reading frames were found in a non-transcribed gene cluster on chromosome 5 of the WB isolate. Analysis of allele-specific expression revealed a correlation between allele-dosage and allele expression in the GS isolate. Previously reported cis-splicing events were confirmed and global mapping of cis-splicing identified only one novel intron. These observations can possibly explain differences in host-preference and symptoms, and it will be the basis for further studies of Giardia pathogenesis and biology.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 1%
Czechia 1 1%
Argentina 1 1%
China 1 1%
United States 1 1%
Unknown 80 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 20%
Student > Ph. D. Student 16 19%
Student > Master 13 15%
Student > Bachelor 8 9%
Professor 6 7%
Other 16 19%
Unknown 9 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 44%
Biochemistry, Genetics and Molecular Biology 20 24%
Immunology and Microbiology 4 5%
Engineering 3 4%
Computer Science 2 2%
Other 7 8%
Unknown 12 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 April 2013.
All research outputs
#2,977,725
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#2,630
of 8,964 outputs
Outputs of similar age
#24,188
of 210,318 outputs
Outputs of similar age from PLoS Computational Biology
#26
of 152 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 70% 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 210,318 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.