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Transcriptome sequences spanning key developmental states as a resource for the study of the cestode Schistocephalus solidus, a threespine stickleback parasite

Overview of attention for article published in Giga Science, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
20 tweeters
peer_reviews
1 peer review site
facebook
2 Facebook pages

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Transcriptome sequences spanning key developmental states as a resource for the study of the cestode Schistocephalus solidus, a threespine stickleback parasite
Published in
Giga Science, June 2016
DOI 10.1186/s13742-016-0128-3
Pubmed ID
Authors

François Olivier Hébert, Stephan Grambauer, Iain Barber, Christian R. Landry, Nadia Aubin-Horth

Abstract

Schistocephalus solidus is a well-established model organism for studying the complex life cycle of cestodes and the mechanisms underlying host-parasite interactions. However, very few large-scale genetic resources for this species are available. We have sequenced and de novo-assembled the transcriptome of S. solidus using tissues from whole worms at three key developmental states - non-infective plerocercoid, infective plerocercoid and adult plerocercoid - to provide a resource for studying the evolution of complex life cycles and, more specifically, how parasites modulate their interactions with their hosts during development. The de novo transcriptome assembly reconstructed the coding sequence of 10,285 high-confidence unigenes from which 24,765 non-redundant transcripts were derived. 7,920 (77 %) of these unigenes were annotated with a protein name and 7,323 (71 %) were assigned at least one Gene Ontology term. Our raw transcriptome assembly (unfiltered transcripts) covers 92 % of the predicted transcriptome derived from the S. solidus draft genome assembly currently available on WormBase. It also provides new ecological information and orthology relationships to further annotate the current WormBase transcriptome and genome. This large-scale transcriptomic dataset provides a foundation for studies on how parasitic species with complex life cycles modulate their response to changes in biotic and abiotic conditions experienced inside their various hosts, which is a fundamental objective of parasitology. Furthermore, this resource will help in the validation of the S solidus gene features that have been predicted based on genomic sequence.

Twitter Demographics

The data shown below were collected from the profiles of 20 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uruguay 1 3%
Germany 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 43%
Researcher 5 17%
Professor > Associate Professor 3 10%
Student > Doctoral Student 2 7%
Other 1 3%
Other 2 7%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 53%
Biochemistry, Genetics and Molecular Biology 5 17%
Computer Science 1 3%
Immunology and Microbiology 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 6 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 November 2017.
All research outputs
#325,629
of 12,083,996 outputs
Outputs from Giga Science
#70
of 462 outputs
Outputs of similar age
#13,731
of 278,608 outputs
Outputs of similar age from Giga Science
#5
of 11 outputs
Altmetric has tracked 12,083,996 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 462 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.8. This one has done well, scoring higher than 84% 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 278,608 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 11 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 54% of its contemporaries.