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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A graph-based approach for designing extensible pipelines
|
|---|---|
| Published in |
BMC Bioinformatics, July 2012
|
| DOI | 10.1186/1471-2105-13-163 |
| Pubmed ID | |
| Authors |
Maíra R Rodrigues, Wagner CS Magalhães, Moara Machado, Eduardo Tarazona-Santos |
| Abstract |
In bioinformatics, it is important to build extensible and low-maintenance systems that are able to deal with the new tools and data formats that are constantly being developed. The traditional and simplest implementation of pipelines involves hardcoding the execution steps into programs or scripts. This approach can lead to problems when a pipeline is expanding because the incorporation of new tools is often error prone and time consuming. Current approaches to pipeline development such as workflow management systems focus on analysis tasks that are systematically repeated without significant changes in their course of execution, such as genome annotation. However, more dynamism on the pipeline composition is necessary when each execution requires a different combination of steps. |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Spain | 1 | 33% |
| Unknown | 1 | 33% |
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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 7% |
| United Kingdom | 2 | 4% |
| Germany | 2 | 4% |
| Brazil | 1 | 2% |
| Unknown | 38 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 39% |
| Student > Ph. D. Student | 6 | 13% |
| Other | 5 | 11% |
| Student > Master | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Other | 7 | 15% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 52% |
| Computer Science | 6 | 13% |
| Medicine and Dentistry | 4 | 9% |
| Engineering | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 3 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 27 July 2012.
All research outputs
#3,664,680
of 22,671,366 outputs
Outputs from BMC Bioinformatics
#1,393
of 7,247 outputs
Outputs of similar age
#25,202
of 164,330 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 95 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 done well, scoring higher than 80% 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 164,330 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 84% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.