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X Demographics
Mendeley readers
Attention Score in Context
| Title |
IPRStats: visualization of the functional potential of an InterProScan run
|
|---|---|
| Published in |
BMC Bioinformatics, December 2010
|
| DOI | 10.1186/1471-2105-11-s12-s13 |
| Pubmed ID | |
| Authors |
Ryan J Kelly, David E Vincent, Iddo Friedberg |
| Abstract |
InterPro is a collection of protein signatures for the classification and automated annotation of proteins. Interproscan is a software tool that scans protein sequences against Interpro member databases using a variety of profile-based, hidden markov model and positional specific score matrix methods. It not only combines a set of analysis tools, but also performs data look-up from various sources, as well as some redundancy removal. Interproscan is robust and scalable, able to perform on any machine from a netbook to a large cluster. However, when performing whole-genome or metagenome analysis, there is a need for a fast statistical visualization of the results to have good initial grasp on the functional potential of the sequences in the analyzed data set. This is especially important when analyzing and comparing metagenomic or metaproteomic data-sets. |
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% |
| Unknown | 2 | 67% |
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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 5% |
| United States | 1 | 2% |
| Sweden | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 37 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 40% |
| Student > Master | 7 | 17% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Doctoral Student | 4 | 10% |
| Student > Bachelor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 50% |
| Biochemistry, Genetics and Molecular Biology | 13 | 31% |
| Computer Science | 3 | 7% |
| Mathematics | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 2 | 5% |
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 06 March 2013.
All research outputs
#14,081,679
of 23,340,595 outputs
Outputs from BMC Bioinformatics
#4,552
of 7,388 outputs
Outputs of similar age
#138,750
of 184,471 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 54 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 38th percentile – i.e., 38% 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 184,471 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.