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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Joining forces in the quest for orthologs
|
|---|---|
| Published in |
Genome Biology, September 2009
|
| DOI | 10.1186/gb-2009-10-9-403 |
| Pubmed ID | |
| Authors |
Toni Gabaldón, Christophe Dessimoz, Julie Huxley-Jones, Albert J Vilella, Erik LL Sonnhammer, Suzanna Lewis |
| Abstract |
Better orthology-prediction resources would be beneficial for the whole biological community. A recent meeting discussed how to coordinate and leverage current efforts. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 4% |
| United Kingdom | 3 | 2% |
| United States | 3 | 2% |
| Brazil | 3 | 2% |
| Australia | 2 | 2% |
| Korea, Republic of | 2 | 2% |
| Sweden | 1 | <1% |
| China | 1 | <1% |
| Germany | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 99 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 30% |
| Researcher | 34 | 28% |
| Student > Master | 12 | 10% |
| Professor > Associate Professor | 10 | 8% |
| Student > Bachelor | 9 | 7% |
| Other | 17 | 14% |
| Unknown | 3 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 74 | 61% |
| Biochemistry, Genetics and Molecular Biology | 25 | 20% |
| Computer Science | 13 | 11% |
| Unspecified | 1 | <1% |
| Immunology and Microbiology | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 6 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 April 2016.
All research outputs
#2,739,475
of 25,373,627 outputs
Outputs from Genome Biology
#2,141
of 4,467 outputs
Outputs of similar age
#9,280
of 106,919 outputs
Outputs of similar age from Genome Biology
#5
of 36 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 52% 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 106,919 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.