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Characterization of Three Venom Peptides from the Spitting Spider Scytodes thoracica

Overview of attention for article published in PLOS ONE, May 2016
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Title
Characterization of Three Venom Peptides from the Spitting Spider Scytodes thoracica
Published in
PLOS ONE, May 2016
DOI 10.1371/journal.pone.0156291
Pubmed ID
Authors

Nathanial K. Ariki, Lisa E. Muñoz, Elizabeth L. Armitage, Francesca R. Goodstein, Kathryn G. George, Vanessa L. Smith, Irina Vetter, Volker Herzig, Glenn F. King, Nikolaus M. Loening

Abstract

We present the solution-state NMR structures and preliminary functional characterizations of three venom peptides identified from the spitting spider Scytodes thoracica. Despite little sequence identity to other venom peptides, structural characterization reveals that these peptides contain an inhibitor cystine knot motif common to many venom peptides. These are the first structures for any peptide or protein from spiders of the Scytodidae family. Many venom peptides target neuronal ion channels or receptors. However, we have not been able to determine the target of these Scytodes peptides so we can only state with certainty the channels and receptors that they do not target.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 21%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 2 8%
Student > Ph. D. Student 1 4%
Other 3 13%
Unknown 9 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 21%
Chemistry 3 13%
Agricultural and Biological Sciences 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 11 46%
Attention Score in Context

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 13 June 2016.
All research outputs
#18,463,662
of 22,877,793 outputs
Outputs from PLOS ONE
#155,325
of 195,158 outputs
Outputs of similar age
#252,869
of 337,045 outputs
Outputs of similar age from PLOS ONE
#3,915
of 4,806 outputs
Altmetric has tracked 22,877,793 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 195,158 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 337,045 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,806 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.