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Mendeley readers
Attention Score in Context
Title |
HotSwap for bioinformatics: A STRAP tutorial
|
---|---|
Published in |
BMC Bioinformatics, February 2006
|
DOI | 10.1186/1471-2105-7-64 |
Pubmed ID | |
Authors |
Christoph Gille, Peter N Robinson |
Abstract |
Bioinformatics applications are now routinely used to analyze large amounts of data. Application development often requires many cycles of optimization, compiling, and testing. Repeatedly loading large datasets can significantly slow down the development process. We have incorporated HotSwap functionality into the protein workbench STRAP, allowing developers to create plugins using the Java HotSwap technique. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 8% |
Germany | 1 | 4% |
Unknown | 23 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 27% |
Student > Ph. D. Student | 6 | 23% |
Student > Master | 3 | 12% |
Student > Bachelor | 2 | 8% |
Professor | 2 | 8% |
Other | 5 | 19% |
Unknown | 1 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 15 | 58% |
Biochemistry, Genetics and Molecular Biology | 2 | 8% |
Computer Science | 2 | 8% |
Mathematics | 1 | 4% |
Arts and Humanities | 1 | 4% |
Other | 4 | 15% |
Unknown | 1 | 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 17 September 2010.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from BMC Bioinformatics
#3,021
of 7,277 outputs
Outputs of similar age
#40,767
of 154,955 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 54 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,277 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 gotten more attention than average, scoring higher than 50% 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 154,955 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.