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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ImmunoNodes – graphical development of complex immunoinformatics workflows
|
|---|---|
| Published in |
BMC Bioinformatics, May 2017
|
| DOI | 10.1186/s12859-017-1667-z |
| Pubmed ID | |
| Authors |
Benjamin Schubert, Luis de la Garza, Christopher Mohr, Mathias Walzer, Oliver Kohlbacher |
| Abstract |
Immunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically required for the complex analysis and prediction pipelines required for advanced applications. We present ImmunoNodes, an immunoinformatics toolbox that is fully integrated into the visual workflow environment KNIME. By dragging and dropping tools and connecting them to indicate the data flow through the pipeline, it is possible to construct very complex workflows without the need for coding. ImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 20% |
| United Kingdom | 1 | 20% |
| Germany | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Unknown | 52 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 17% |
| Researcher | 7 | 13% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Master | 6 | 11% |
| Student > Doctoral Student | 4 | 8% |
| Other | 11 | 21% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 17% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Computer Science | 7 | 13% |
| Chemistry | 4 | 8% |
| Medicine and Dentistry | 3 | 6% |
| Other | 11 | 21% |
| Unknown | 11 | 21% |
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 06 August 2018.
All research outputs
#13,317,733
of 22,971,207 outputs
Outputs from BMC Bioinformatics
#4,021
of 7,306 outputs
Outputs of similar age
#154,090
of 310,587 outputs
Outputs of similar age from BMC Bioinformatics
#51
of 103 outputs
Altmetric has tracked 22,971,207 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 7,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 42nd percentile – i.e., 42% 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 310,587 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 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.