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Mendeley readers
Attention Score in Context
| Title |
Databases of homologous gene families for comparative genomics
|
|---|---|
| Published in |
BMC Bioinformatics, June 2009
|
| DOI | 10.1186/1471-2105-10-s6-s3 |
| Pubmed ID | |
| Authors |
Simon Penel, Anne-Muriel Arigon, Jean-François Dufayard, Anne-Sophie Sertier, Vincent Daubin, Laurent Duret, Manolo Gouy, Guy Perrière |
| Abstract |
Comparative genomics is a central step in many sequence analysis studies, from gene annotation and the identification of new functional regions in genomes, to the study of evolutionary processes at the molecular level (speciation, single gene or whole genome duplications, etc.) and phylogenetics. In that context, databases providing users high quality homologous families and sequence alignments as well as phylogenetic trees based on state of the art algorithms are becoming indispensable. |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 2% |
| United States | 2 | 1% |
| United Kingdom | 2 | 1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Czechia | 1 | <1% |
| Brazil | 1 | <1% |
| Italy | 1 | <1% |
| China | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 151 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 25% |
| Researcher | 39 | 23% |
| Professor > Associate Professor | 14 | 8% |
| Professor | 14 | 8% |
| Student > Master | 14 | 8% |
| Other | 29 | 17% |
| Unknown | 15 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 91 | 54% |
| Biochemistry, Genetics and Molecular Biology | 33 | 20% |
| Computer Science | 14 | 8% |
| Medicine and Dentistry | 3 | 2% |
| Chemistry | 2 | 1% |
| Other | 5 | 3% |
| Unknown | 19 | 11% |
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 05 December 2009.
All research outputs
#7,451,584
of 22,780,967 outputs
Outputs from BMC Bioinformatics
#3,021
of 7,277 outputs
Outputs of similar age
#33,048
of 98,634 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 39 outputs
Altmetric has tracked 22,780,967 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,277 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 50% 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 98,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 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.