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De novo transcriptome of Ischnura elegans provides insights into sensory biology, colour and vision genes

Overview of attention for article published in BMC Genomics, September 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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13 X users
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1 Facebook page

Citations

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48 Dimensions

Readers on

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90 Mendeley
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1 CiteULike
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Title
De novo transcriptome of Ischnura elegans provides insights into sensory biology, colour and vision genes
Published in
BMC Genomics, September 2014
DOI 10.1186/1471-2164-15-808
Pubmed ID
Authors

Pallavi Chauhan, Bengt Hansson, Ken Kraaijeveld, Peter de Knijff, Erik I Svensson, Maren Wellenreuther

Abstract

There is growing interest in odonates (damselflies and dragonflies) as model organisms in ecology and evolutionary biology but the development of genomic resources has been slow. So far only one draft genome (Ladona fulva) and one transcriptome assembly (Enallagma hageni) have been published. Odonates have some of the most advanced visual systems among insects and several species are colour polymorphic, and genomic and transcriptomic data would allow studying the genomic architecture of these interesting traits and make detailed comparative studies between related species possible. Here, we present a comprehensive de novo transcriptome assembly for the blue-tailed damselfly Ischnura elegans (Odonata: Coenagrionidae) built from short-read RNA-seq data. The transcriptome analysis in this paper provides a first step towards identifying genes and pathways underlying the visual and colour systems in this insect group.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Italy 1 1%
United Kingdom 1 1%
Mexico 1 1%
Spain 1 1%
Unknown 84 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 24%
Researcher 18 20%
Student > Master 14 16%
Student > Bachelor 6 7%
Professor > Associate Professor 6 7%
Other 17 19%
Unknown 7 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 61%
Biochemistry, Genetics and Molecular Biology 14 16%
Environmental Science 3 3%
Chemistry 2 2%
Neuroscience 2 2%
Other 6 7%
Unknown 8 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 30 November 2014.
All research outputs
#5,338,695
of 25,373,627 outputs
Outputs from BMC Genomics
#2,086
of 11,244 outputs
Outputs of similar age
#54,719
of 262,419 outputs
Outputs of similar age from BMC Genomics
#54
of 285 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 81% 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 262,419 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 78% of its contemporaries.
We're also able to compare this research output to 285 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.