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De novo reconstruction of the Toxoplasma gondii transcriptome improves on the current genome annotation and reveals alternatively spliced transcripts and putative long non-coding RNAs

Overview of attention for article published in BMC Genomics, January 2012
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1 tweeter

Citations

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Title
De novo reconstruction of the Toxoplasma gondii transcriptome improves on the current genome annotation and reveals alternatively spliced transcripts and putative long non-coding RNAs
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-696
Pubmed ID
Authors

Musa A Hassan, Mariane B Melo, Brian Haas, Kirk D C Jensen, Jeroen P J Saeij

Abstract

Accurate gene model predictions and annotation of alternative splicing events are imperative for genomic studies in organisms that contain genes with multiple exons. Currently most gene models for the intracellular parasite, Toxoplasma gondii, are based on computer model predictions without cDNA sequence verification. Additionally, the nature and extent of alternative splicing in Toxoplasma gondii is unknown. In this study, we used de novo transcript assembly and the published type II (ME49) genomic sequence to quantify the extent of alternative splicing in Toxoplasma and to improve the current Toxoplasma gene annotations.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Germany 1 1%
Australia 1 1%
Canada 1 1%
Unknown 82 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 34%
Researcher 18 21%
Student > Master 12 14%
Student > Postgraduate 5 6%
Student > Bachelor 5 6%
Other 11 13%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 51%
Biochemistry, Genetics and Molecular Biology 12 14%
Veterinary Science and Veterinary Medicine 6 7%
Computer Science 5 6%
Immunology and Microbiology 4 5%
Other 9 10%
Unknown 7 8%

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 12 December 2012.
All research outputs
#10,995,831
of 12,373,620 outputs
Outputs from BMC Genomics
#6,426
of 7,313 outputs
Outputs of similar age
#219,915
of 260,782 outputs
Outputs of similar age from BMC Genomics
#506
of 617 outputs
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So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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