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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Workflows for microarray data processing in the Kepler environment
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-102 |
| Pubmed ID | |
| Authors |
Thomas Stropp, Timothy McPhillips, Bertram Ludäscher, Mark Bieda |
| Abstract |
Microarray data analysis has been the subject of extensive and ongoing pipeline development due to its complexity, the availability of several options at each analysis step, and the development of new analysis demands, including integration with new data sources. Bioinformatics pipelines are usually custom built for different applications, making them typically difficult to modify, extend and repurpose. Scientific workflow systems are intended to address these issues by providing general-purpose frameworks in which to develop and execute such pipelines. The Kepler workflow environment is a well-established system under continual development that is employed in several areas of scientific research. Kepler provides a flexible graphical interface, featuring clear display of parameter values, for design and modification of workflows. It has capabilities for developing novel computational components in the R, Python, and Java programming languages, all of which are widely used for bioinformatics algorithm development, along with capabilities for invoking external applications and using web services. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 17% |
| United Kingdom | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| Italy | 2 | 4% |
| Brazil | 2 | 4% |
| Sweden | 1 | 2% |
| Netherlands | 1 | 2% |
| United Kingdom | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 45 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 33% |
| Student > Ph. D. Student | 7 | 12% |
| Student > Bachelor | 5 | 9% |
| Professor | 5 | 9% |
| Professor > Associate Professor | 5 | 9% |
| Other | 11 | 19% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 37% |
| Computer Science | 17 | 30% |
| Medicine and Dentistry | 5 | 9% |
| Arts and Humanities | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 5 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 14 August 2013.
All research outputs
#5,813,033
of 22,665,794 outputs
Outputs from BMC Bioinformatics
#2,159
of 7,247 outputs
Outputs of similar age
#40,393
of 164,419 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 104 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,247 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 70% 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 164,419 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 75% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.