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Mendeley readers
Attention Score in Context
| Title |
PrionScan: an online database of predicted prion domains in complete proteomes
|
|---|---|
| Published in |
BMC Genomics, February 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 2% |
| Unknown | 60 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 21% |
| Student > Ph. D. Student | 9 | 15% |
| Student > Bachelor | 8 | 13% |
| Student > Master | 7 | 11% |
| Professor > Associate Professor | 5 | 8% |
| Other | 11 | 18% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 39% |
| Biochemistry, Genetics and Molecular Biology | 20 | 33% |
| Medicine and Dentistry | 4 | 7% |
| Nursing and Health Professions | 1 | 2% |
| Earth and Planetary Sciences | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 8 | 13% |
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
#22,758,309
of 25,373,627 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#282,589
of 322,640 outputs
Outputs of similar age from BMC Genomics
#173
of 203 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. 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 322,640 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 203 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.