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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Visualizing genomic information across chromosomes with PhenoGram
|
|---|---|
| Published in |
BioData Mining, October 2013
|
| DOI | 10.1186/1756-0381-6-18 |
| Pubmed ID | |
| Authors |
Daniel Wolfe, Scott Dudek, Marylyn D Ritchie, Sarah A Pendergrass |
| Abstract |
With the abundance of information and analysis results being collected for genetic loci, user-friendly and flexible data visualization approaches can inform and improve the analysis and dissemination of these data. A chromosomal ideogram is an idealized graphic representation of chromosomes. Ideograms can be combined with overlaid points, lines, and/or shapes, to provide summary information from studies of various kinds, such as genome-wide association studies or phenome-wide association studies, coupled with genomic location information. To facilitate visualizing varied data in multiple ways using ideograms, we have developed a flexible software tool called PhenoGram which exists as a web-based tool and also a command-line program. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 1 | <1% |
| Finland | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 163 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 26% |
| Researcher | 39 | 23% |
| Student > Bachelor | 13 | 8% |
| Student > Doctoral Student | 11 | 7% |
| Student > Master | 9 | 5% |
| Other | 16 | 9% |
| Unknown | 37 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 64 | 38% |
| Biochemistry, Genetics and Molecular Biology | 40 | 24% |
| Medicine and Dentistry | 6 | 4% |
| Computer Science | 3 | 2% |
| Immunology and Microbiology | 3 | 2% |
| Other | 8 | 5% |
| Unknown | 45 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 January 2014.
All research outputs
#14,180,180
of 22,727,570 outputs
Outputs from BioData Mining
#205
of 307 outputs
Outputs of similar age
#118,135
of 210,725 outputs
Outputs of similar age from BioData Mining
#4
of 6 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 307 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 29th percentile – i.e., 29% 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 210,725 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.