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Mendeley readers
Attention Score in Context
| Title |
Iterative orthology prediction uncovers new mitochondrial proteins and identifies C12orf62 as the human ortholog of COX14, a protein involved in the assembly of cytochrome coxidase
|
|---|---|
| Published in |
Genome Biology, February 2012
|
| DOI | 10.1186/gb-2012-13-2-r12 |
| Pubmed ID | |
| Authors |
Radek Szklarczyk, Bas FJ Wanschers, Thomas D Cuypers, John J Esseling, Moniek Riemersma, Mariël AM van den Brand, Jolein Gloerich, Edwin Lasonder, Lambert P van den Heuvel, Leo G Nijtmans, Martijn A Huynen |
| Abstract |
Orthology is a central tenet of comparative genomics and ortholog identification is instrumental to protein function prediction. Major advances have been made to determine orthology relations among a set of homologous proteins. However, they depend on the comparison of individual sequences and do not take into account divergent orthologs. |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Czechia | 1 | 1% |
| Portugal | 1 | 1% |
| Japan | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 85 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 25% |
| Researcher | 17 | 19% |
| Student > Master | 11 | 12% |
| Professor | 8 | 9% |
| Student > Doctoral Student | 4 | 4% |
| Other | 15 | 16% |
| Unknown | 13 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 42% |
| Biochemistry, Genetics and Molecular Biology | 20 | 22% |
| Medicine and Dentistry | 4 | 4% |
| Computer Science | 4 | 4% |
| Business, Management and Accounting | 1 | 1% |
| Other | 6 | 7% |
| Unknown | 18 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 September 2023.
All research outputs
#6,766,263
of 25,411,814 outputs
Outputs from Genome Biology
#3,161
of 4,472 outputs
Outputs of similar age
#42,783
of 169,172 outputs
Outputs of similar age from Genome Biology
#33
of 43 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 4,472 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 28th percentile – i.e., 28% 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 169,172 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 74% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.