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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GenomeViz: visualizing microbial genomes
|
|---|---|
| Published in |
BMC Bioinformatics, December 2004
|
| DOI | 10.1186/1471-2105-5-198 |
| Pubmed ID | |
| Authors |
Rohit Ghai, Torsten Hain, Trinad Chakraborty |
| Abstract |
An increasing number of microbial genomes are being sequenced and deposited in public databases. In addition, several closely related strains are also being sequenced in order to understand the genetic basis of diversity and mechanisms that lead to the acquisition of new genetic traits. These exercises have necessitated the requirement for visualizing microbial genomes and performing genome comparisons on a finer scale. We have developed GenomeViz to enable rapid visualization and subsequent comparisons of several microbial genomes in an interactive environment. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| France | 1 | 1% |
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 63 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 29% |
| Student > Ph. D. Student | 12 | 18% |
| Student > Master | 10 | 15% |
| Professor | 6 | 9% |
| Professor > Associate Professor | 3 | 4% |
| Other | 8 | 12% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 59% |
| Biochemistry, Genetics and Molecular Biology | 8 | 12% |
| Computer Science | 3 | 4% |
| Medicine and Dentistry | 2 | 3% |
| Chemical Engineering | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 10 | 15% |
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 17 March 2015.
All research outputs
#15,986,645
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#4,983
of 7,672 outputs
Outputs of similar age
#125,422
of 147,720 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 39 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 31st percentile – i.e., 31% 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 147,720 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 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.