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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Bioinformatics Workflows and Web Services in Systems Biology Made Easy for Experimentalists
|
|---|---|
| Chapter number | 16 |
| Book title |
In Silico Systems Biology
|
| Published in |
Methods in molecular biology, January 2013
|
| DOI | 10.1007/978-1-62703-450-0_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-449-4, 978-1-62703-450-0
|
| Authors |
Rafael C. Jimenez, Manuel Corpas, Jimenez, Rafael C., Corpas, Manuel |
| Abstract |
Workflows are useful to perform data analysis and integration in systems biology. Workflow management systems can help users create workflows without any previous knowledge in programming and web services. However the computational skills required to build such workflows are usually above the level most biological experimentalists are comfortable with. In this chapter we introduce workflow management systems that reuse existing workflows instead of creating them, making it easier for experimentalists to perform computational tasks. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 12 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 36% |
| Student > Master | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Other | 1 | 7% |
| Professor | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 43% |
| Computer Science | 4 | 29% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Physics and Astronomy | 1 | 7% |
| Unknown | 2 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 June 2013.
All research outputs
#14,754,186
of 22,711,645 outputs
Outputs from Methods in molecular biology
#4,658
of 13,079 outputs
Outputs of similar age
#175,304
of 280,737 outputs
Outputs of similar age from Methods in molecular biology
#166
of 341 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,079 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 59% 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 280,737 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.