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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A knowledge-based decision support system in bioinformatics: an application to protein complex extraction
|
|---|---|
| Published in |
BMC Bioinformatics, January 2013
|
| DOI | 10.1186/1471-2105-14-s1-s5 |
| Pubmed ID | |
| Authors |
Antonino Fiannaca, Massimo La Rosa, Alfonso Urso, Riccardo Rizzo, Salvatore Gaglio |
| Abstract |
We introduce a Knowledge-based Decision Support System (KDSS) in order to face the Protein Complex Extraction issue. Using a Knowledge Base (KB) coding the expertise about the proposed scenario, our KDSS is able to suggest both strategies and tools, according to the features of input dataset. Our system provides a navigable workflow for the current experiment and furthermore it offers support in the configuration and running of every processing component of that workflow. This last feature makes our system a crossover between classical DSS and Workflow Management Systems. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| Germany | 1 | 2% |
| Italy | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 40 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 30% |
| Student > Master | 8 | 18% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Bachelor | 5 | 11% |
| Lecturer | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 36% |
| Biochemistry, Genetics and Molecular Biology | 7 | 16% |
| Engineering | 5 | 11% |
| Agricultural and Biological Sciences | 4 | 9% |
| Social Sciences | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 7 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 January 2013.
All research outputs
#18,326,065
of 22,693,205 outputs
Outputs from BMC Bioinformatics
#6,289
of 7,254 outputs
Outputs of similar age
#220,629
of 283,921 outputs
Outputs of similar age from BMC Bioinformatics
#109
of 138 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 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 5th percentile – i.e., 5% 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 283,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.