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PrionScan: an online database of predicted prion domains in complete proteomes

Overview of attention for article published in BMC Genomics, January 2014
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Title
PrionScan: an online database of predicted prion domains in complete proteomes
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-102
Pubmed ID
Authors

Vladimir Espinosa Angarica, Alfonso Angulo, Arturo Giner, Guillermo Losilla, Salvador Ventura, Javier Sancho

Abstract

Prions are a particular type of amyloids related to a large variety of important processes in cells, but also responsible for serious diseases in mammals and humans. The number of experimentally characterized prions is still low and corresponds to a handful of examples in microorganisms and mammals. Prion aggregation is mediated by specific protein domains with a remarkable compositional bias towards glutamine/asparagine and against charged residues and prolines. These compositional features have been used to predict new prion proteins in the genomes of different organisms. Despite these efforts, there are only a few available data sources containing prion predictions at a genomic scale.

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 25%
Student > Ph. D. Student 8 16%
Student > Bachelor 6 12%
Professor > Associate Professor 5 10%
Professor 4 8%
Other 11 22%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 45%
Biochemistry, Genetics and Molecular Biology 16 31%
Medicine and Dentistry 4 8%
Immunology and Microbiology 1 2%
Earth and Planetary Sciences 1 2%
Other 2 4%
Unknown 4 8%

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 06 February 2014.
All research outputs
#2,907,420
of 3,626,596 outputs
Outputs from BMC Genomics
#2,688
of 3,347 outputs
Outputs of similar age
#86,640
of 110,698 outputs
Outputs of similar age from BMC Genomics
#168
of 212 outputs
Altmetric has tracked 3,626,596 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,347 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% 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 110,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 212 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.