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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SNPpy - Database Management for SNP Data from Genome Wide Association Studies
|
|---|---|
| Published in |
PLOS ONE, October 2011
|
| DOI | 10.1371/journal.pone.0024982 |
| Pubmed ID | |
| Authors |
Faheem Mitha, Herodotos Herodotou, Nedyalko Borisov, Chen Jiang, Josh Yoder, Kouros Owzar |
| Abstract |
We describe SNPpy, a hybrid script database system using the Python SQLAlchemy library coupled with the PostgreSQL database to manage genotype data from Genome-Wide Association Studies (GWAS). This system makes it possible to merge study data with HapMap data and merge across studies for meta-analyses, including data filtering based on the values of phenotype and Single-Nucleotide Polymorphism (SNP) data. SNPpy and its dependencies are open source software. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| France | 2 | 3% |
| Sweden | 1 | 1% |
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| United Kingdom | 1 | 1% |
| New Zealand | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 56 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 37% |
| Student > Ph. D. Student | 13 | 19% |
| Student > Master | 8 | 12% |
| Other | 4 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 43% |
| Computer Science | 11 | 16% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Medicine and Dentistry | 4 | 6% |
| Engineering | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 10 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 January 2012.
All research outputs
#4,025,535
of 23,045,021 outputs
Outputs from PLOS ONE
#58,590
of 196,522 outputs
Outputs of similar age
#23,154
of 140,117 outputs
Outputs of similar age from PLOS ONE
#547
of 2,564 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 196,522 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has gotten more attention than average, scoring higher than 70% 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 140,117 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 2,564 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.