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Mendeley readers
Attention Score in Context
Title |
Balony:a software package for analysis of data generated by synthetic genetic array experiments
|
---|---|
Published in |
BMC Bioinformatics, December 2013
|
DOI | 10.1186/1471-2105-14-354 |
Pubmed ID | |
Authors |
Barry P Young, Christopher JR Loewen |
Abstract |
Synthetic Genetic Array (SGA) analysis is a procedure which has been developed to allow the systematic examination of large numbers of double mutants in the yeast Saccharomyces cerevisiae. The aim of these experiments is to identify genetic interactions between pairs of genes. These experiments generate a number of images of ordered arrays of yeast colonies which must be analyzed in order to quantify the extent of the genetic interactions. We have designed software that is able to analyze virtually any image of regularly arrayed colonies and allows the user significant flexibility over the analysis procedure. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Norway | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 3% |
Israel | 1 | 2% |
United States | 1 | 2% |
Unknown | 55 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 24% |
Student > Bachelor | 11 | 19% |
Student > Master | 10 | 17% |
Researcher | 9 | 15% |
Professor | 2 | 3% |
Other | 3 | 5% |
Unknown | 10 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 25 | 42% |
Biochemistry, Genetics and Molecular Biology | 14 | 24% |
Medicine and Dentistry | 3 | 5% |
Computer Science | 2 | 3% |
Mathematics | 1 | 2% |
Other | 2 | 3% |
Unknown | 12 | 20% |
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 05 December 2013.
All research outputs
#19,152,878
of 23,733,540 outputs
Outputs from BMC Bioinformatics
#6,476
of 7,426 outputs
Outputs of similar age
#236,817
of 311,320 outputs
Outputs of similar age from BMC Bioinformatics
#86
of 107 outputs
Altmetric has tracked 23,733,540 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,426 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 311,320 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.