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Gene structure, regulatory control, and evolution of black widow venom latrotoxins

Overview of attention for article published in Febs Letters, September 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
6 X users

Citations

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17 Dimensions

Readers on

mendeley
39 Mendeley
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1 CiteULike
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Title
Gene structure, regulatory control, and evolution of black widow venom latrotoxins
Published in
Febs Letters, September 2014
DOI 10.1016/j.febslet.2014.08.034
Pubmed ID
Authors

Kanaka Varun Bhere, Robert A. Haney, Nadia A. Ayoub, Jessica E. Garb

Abstract

Black widow venom contains α-latrotoxin, infamous for causing intense pain. Combining 33kb of Latrodectus hesperus genomic DNA with RNA-Seq, we characterized the α-latrotoxin gene and discovered a paralog, 4.5kb downstream. Both paralogs exhibit venom gland specific transcription, and may be regulated post-transcriptionally via musashi-like proteins. A 4kb intron interrupts the α-latrotoxin coding sequence, while a 10kb intron in the 3' UTR of the paralog may cause non-sense-mediated decay. Phylogenetic analysis confirms these divergent latrotoxins diversified through recent tandem gene duplications. Thus, latrotoxin genes have more complex structures, regulatory controls, and sequence diversity than previously proposed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 31%
Researcher 7 18%
Student > Ph. D. Student 4 10%
Student > Postgraduate 3 8%
Student > Master 3 8%
Other 6 15%
Unknown 4 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 31%
Agricultural and Biological Sciences 9 23%
Chemistry 3 8%
Engineering 2 5%
Neuroscience 2 5%
Other 6 15%
Unknown 5 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 January 2015.
All research outputs
#3,404,930
of 25,394,764 outputs
Outputs from Febs Letters
#787
of 14,379 outputs
Outputs of similar age
#35,301
of 255,460 outputs
Outputs of similar age from Febs Letters
#5
of 70 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 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,379 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 94% 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 255,460 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 86% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.