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Mendeley readers
Attention Score in Context
| Title |
Initial steps towards a production platform for DNA sequence analysis on the grid
|
|---|---|
| Published in |
BMC Bioinformatics, December 2010
|
| DOI | 10.1186/1471-2105-11-598 |
| Pubmed ID | |
| Authors |
Angela CM Luyf, Barbera DC van Schaik, Michel de Vries, Frank Baas, Antoine HC van Kampen, Silvia D Olabarriaga |
| Abstract |
Bioinformatics is confronted with a new data explosion due to the availability of high throughput DNA sequencers. Data storage and analysis becomes a problem on local servers, and therefore it is needed to switch to other IT infrastructures. Grid and workflow technology can help to handle the data more efficiently, as well as facilitate collaborations. However, interfaces to grids are often unfriendly to novice users. |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 4 | 8% |
| France | 2 | 4% |
| Sweden | 2 | 4% |
| Australia | 1 | 2% |
| Mexico | 1 | 2% |
| Argentina | 1 | 2% |
| Philippines | 1 | 2% |
| Unknown | 38 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 30% |
| Student > Ph. D. Student | 10 | 20% |
| Student > Master | 8 | 16% |
| Student > Bachelor | 4 | 8% |
| Other | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 44% |
| Computer Science | 9 | 18% |
| Unspecified | 4 | 8% |
| Medicine and Dentistry | 2 | 4% |
| Mathematics | 2 | 4% |
| Other | 9 | 18% |
| Unknown | 2 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 November 2011.
All research outputs
#14,152,800
of 24,666,614 outputs
Outputs from BMC Bioinformatics
#3,942
of 7,565 outputs
Outputs of similar age
#142,412
of 190,843 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 56 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,565 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 45th percentile – i.e., 45% 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 190,843 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.