| Title |
GenomeGraphs: integrated genomic data visualization with R
|
|---|---|
| Published in |
BMC Bioinformatics, January 2009
|
| DOI | 10.1186/1471-2105-10-2 |
| Pubmed ID | |
| Authors |
Steffen Durinck, James Bullard, Paul T Spellman, Sandrine Dudoit |
| Abstract |
Biological studies involve a growing number of distinct high-throughput experiments to characterize samples of interest. There is a lack of methods to visualize these different genomic datasets in a versatile manner. In addition, genomic data analysis requires integrated visualization of experimental data along with constantly changing genomic annotation and statistical analyses. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 11% |
| United Kingdom | 1 | 11% |
| Germany | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 229 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 5% |
| Germany | 7 | 3% |
| United Kingdom | 7 | 3% |
| Canada | 4 | 2% |
| Norway | 3 | 1% |
| France | 2 | <1% |
| Brazil | 2 | <1% |
| Belgium | 2 | <1% |
| Australia | 1 | <1% |
| Other | 8 | 3% |
| Unknown | 182 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 86 | 38% |
| Student > Ph. D. Student | 48 | 21% |
| Student > Master | 19 | 8% |
| Other | 14 | 6% |
| Professor > Associate Professor | 11 | 5% |
| Other | 38 | 17% |
| Unknown | 13 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 143 | 62% |
| Biochemistry, Genetics and Molecular Biology | 33 | 14% |
| Computer Science | 13 | 6% |
| Medicine and Dentistry | 10 | 4% |
| Immunology and Microbiology | 2 | <1% |
| Other | 12 | 5% |
| Unknown | 16 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 26 June 2016.
All research outputs
#3,265,034
of 25,116,143 outputs
Outputs from BMC Bioinformatics
#1,057
of 7,653 outputs
Outputs of similar age
#15,966
of 184,845 outputs
Outputs of similar age from BMC Bioinformatics
#6
of 68 outputs
Altmetric has tracked 25,116,143 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,653 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 86% 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 184,845 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
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 has done particularly well, scoring higher than 92% of its contemporaries.