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Mendeley readers
Attention Score in Context
| Title |
Genome Projector: zoomable genome map with multiple views
|
|---|---|
| Published in |
BMC Bioinformatics, January 2009
|
| DOI | 10.1186/1471-2105-10-31 |
| Pubmed ID | |
| Authors |
Kazuharu Arakawa, Satoshi Tamaki, Nobuaki Kono, Nobuhiro Kido, Keita Ikegami, Ryu Ogawa, Masaru Tomita |
| Abstract |
Molecular biology data exist on diverse scales, from the level of molecules to -omics. At the same time, the data at each scale can be categorised into multiple layers, such as the genome, transcriptome, proteome, metabolome, and biochemical pathways. Due to the highly multi-layer and multi-dimensional nature of biological information, software interfaces for database browsing should provide an intuitive interface that allows for rapid migration across different views and scales. The Zoomable User Interface (ZUI) and tabbed browsing have proven successful for this purpose in other areas, especially to navigate the vast information in the World Wide Web. |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Japan | 3 | 3% |
| United Kingdom | 3 | 3% |
| Netherlands | 2 | 2% |
| Germany | 2 | 2% |
| Norway | 1 | 1% |
| India | 1 | 1% |
| Canada | 1 | 1% |
| Australia | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 71 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 29% |
| Student > Ph. D. Student | 21 | 23% |
| Professor > Associate Professor | 8 | 9% |
| Student > Master | 7 | 8% |
| Professor | 6 | 7% |
| Other | 19 | 21% |
| Unknown | 4 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 54% |
| Computer Science | 15 | 16% |
| Biochemistry, Genetics and Molecular Biology | 10 | 11% |
| Medicine and Dentistry | 6 | 7% |
| Linguistics | 1 | 1% |
| Other | 5 | 5% |
| Unknown | 5 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 22 September 2009.
All research outputs
#4,384,228
of 22,655,397 outputs
Outputs from BMC Bioinformatics
#1,650
of 7,236 outputs
Outputs of similar age
#25,181
of 170,131 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 61 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 77% 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 170,131 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 85% of its contemporaries.
We're also able to compare this research output to 61 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.