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ConoServer: updated content, knowledge, and discovery tools in the conopeptide database

Overview of attention for article published in Nucleic Acids Research, November 2011
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 X user
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7 Wikipedia pages

Citations

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295 Dimensions

Readers on

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159 Mendeley
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2 CiteULike
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Title
ConoServer: updated content, knowledge, and discovery tools in the conopeptide database
Published in
Nucleic Acids Research, November 2011
DOI 10.1093/nar/gkr886
Pubmed ID
Authors

Quentin Kaas, Rilei Yu, Ai-Hua Jin, Sébastien Dutertre, David J. Craik

Abstract

ConoServer (http://www.conoserver.org) is a database specializing in the sequences and structures of conopeptides, which are toxins expressed by marine cone snails. Cone snails are carnivorous gastropods, which hunt their prey using a cocktail of toxins that potently subvert nervous system function. The ability of these toxins to specifically target receptors, channels and transporters of the nervous system has attracted considerable interest for their use in physiological research and as drug leads. Since the founding publication on ConoServer in 2008, the number of entries in the database has nearly doubled, the interface has been redesigned and new annotations have been added, including a more detailed description of cone snail species, biological activity measurements and information regarding the identification of each sequence. Automatically updated statistics on classification schemes, three-dimensional structures, conopeptide-bearing species and endoplasmic reticulum signal sequence conservation trends, provide a convenient overview of current knowledge on conopeptides. Transcriptomics and proteomics have began generating massive numbers of new conopeptide sequences, and two dedicated tools have been recently implemented in ConoServer to standardize the analysis of conopeptide precursor sequences and to help in the identification by mass spectrometry of toxins whose sequences were predicted at the nucleic acid level.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Spain 1 <1%
South Africa 1 <1%
Brazil 1 <1%
Unknown 154 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 19%
Student > Master 25 16%
Researcher 20 13%
Student > Bachelor 20 13%
Professor 6 4%
Other 24 15%
Unknown 33 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 23%
Biochemistry, Genetics and Molecular Biology 31 19%
Chemistry 20 13%
Pharmacology, Toxicology and Pharmaceutical Science 14 9%
Computer Science 5 3%
Other 13 8%
Unknown 39 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 December 2023.
All research outputs
#6,908,917
of 22,656,971 outputs
Outputs from Nucleic Acids Research
#11,594
of 26,277 outputs
Outputs of similar age
#43,243
of 141,801 outputs
Outputs of similar age from Nucleic Acids Research
#159
of 330 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 26,277 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 54% 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 141,801 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 330 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.