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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CWDPRNP: a tool for cervid prion sequence analysis in program R.
|
|---|---|
| Published in |
Bioinformatics, May 2017
|
| DOI | 10.1093/bioinformatics/btx333 |
| Pubmed ID | |
| Authors |
William L Miller, W David Walter |
| Abstract |
Chronic wasting disease is a fatal neurological, disease caused by an infectious prion protein, which affects economically and ecologically important members of the family Cervidae. Single nucleotide polymorphisms within the prion protein gene have been linked to differential susceptibility to the disease in many species. Wildlife managers are seeking to determine the frequencies of disease-associated alleles and genotypes and delineate spatial genetic patterns. The CWDPRNP package, implemented in program R, provides a unified framework for analyzing prion protein gene variability and spatial structure. The CWDPRNP package, manual, and example data files are available at http://ecosystems.psu.edu/research/labs/walter-lab/additional-labs/population-genetics-lab . This package is available for all commonly used platforms. [email protected]. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 22% |
| Researcher | 3 | 17% |
| Other | 2 | 11% |
| Student > Doctoral Student | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 3 | 17% |
| Unknown | 4 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 28% |
| Immunology and Microbiology | 2 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Environmental Science | 1 | 6% |
| Other | 4 | 22% |
| Unknown | 4 | 22% |
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 12 October 2017.
All research outputs
#18,171,876
of 23,342,092 outputs
Outputs from Bioinformatics
#7,086
of 8,020 outputs
Outputs of similar age
#225,239
of 314,351 outputs
Outputs of similar age from Bioinformatics
#59
of 68 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,020 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 8th percentile – i.e., 8% 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 314,351 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.