| Title |
MultiLoc2: integrating phylogeny and Gene Ontology terms improves subcellular protein localization prediction
|
|---|---|
| Published in |
BMC Bioinformatics, September 2009
|
| DOI | 10.1186/1471-2105-10-274 |
| Pubmed ID | |
| Authors |
Torsten Blum, Sebastian Briesemeister, Oliver Kohlbacher |
| Abstract |
Knowledge of subcellular localization of proteins is crucial to proteomics, drug target discovery and systems biology since localization and biological function are highly correlated. In recent years, numerous computational prediction methods have been developed. Nevertheless, there is still a need for prediction methods that show more robustness and higher accuracy. |
Mendeley readers
The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Germany | 3 | 2% |
| United Kingdom | 3 | 2% |
| Denmark | 2 | 1% |
| Brazil | 1 | <1% |
| Czechia | 1 | <1% |
| Sweden | 1 | <1% |
| Colombia | 1 | <1% |
| India | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 176 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 26% |
| Student > Master | 35 | 18% |
| Researcher | 31 | 16% |
| Student > Bachelor | 17 | 9% |
| Professor > Associate Professor | 10 | 5% |
| Other | 28 | 15% |
| Unknown | 21 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 92 | 48% |
| Biochemistry, Genetics and Molecular Biology | 46 | 24% |
| Computer Science | 14 | 7% |
| Engineering | 4 | 2% |
| Medicine and Dentistry | 2 | 1% |
| Other | 7 | 4% |
| Unknown | 28 | 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 20 December 2011.
All research outputs
#12,852,960
of 22,662,201 outputs
Outputs from BMC Bioinformatics
#3,776
of 7,241 outputs
Outputs of similar age
#72,917
of 91,314 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 50 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,241 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 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.