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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms
|
|---|---|
| Published in |
BMC Bioinformatics, March 2012
|
| DOI | 10.1186/1471-2105-13-s4-s14 |
| Pubmed ID | |
| Authors |
Marco Falda, Stefano Toppo, Alessandro Pescarolo, Enrico Lavezzo, Barbara Di Camillo, Andrea Facchinetti, Elisa Cilia, Riccardo Velasco, Paolo Fontana |
| Abstract |
Predicting protein function has become increasingly demanding in the era of next generation sequencing technology. The task to assign a curator-reviewed function to every single sequence is impracticable. Bioinformatics tools, easy to use and able to provide automatic and reliable annotations at a genomic scale, are necessary and urgent. In this scenario, the Gene Ontology has provided the means to standardize the annotation classification with a structured vocabulary which can be easily exploited by computational methods. |
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 % |
|---|---|---|
| Spain | 1 | 33% |
| United Kingdom | 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Netherlands | 2 | 2% |
| United States | 2 | 2% |
| Canada | 2 | 2% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| Norway | 1 | <1% |
| Portugal | 1 | <1% |
| Slovenia | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 113 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 23% |
| Student > Ph. D. Student | 29 | 22% |
| Student > Bachelor | 15 | 12% |
| Student > Master | 12 | 9% |
| Student > Doctoral Student | 6 | 5% |
| Other | 21 | 16% |
| Unknown | 17 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 37% |
| Biochemistry, Genetics and Molecular Biology | 29 | 22% |
| Computer Science | 20 | 15% |
| Social Sciences | 5 | 4% |
| Environmental Science | 2 | 2% |
| Other | 7 | 5% |
| Unknown | 19 | 15% |
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 10 May 2012.
All research outputs
#7,061,613
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#2,639
of 7,400 outputs
Outputs of similar age
#47,079
of 161,986 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 80 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,400 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 gotten more attention than average, scoring higher than 63% 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 161,986 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.