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Mendeley readers
Attention Score in Context
| Title |
Quantifying the mechanisms of domain gain in animal proteins
|
|---|---|
| Published in |
Genome Biology, July 2010
|
| DOI | 10.1186/gb-2010-11-7-r74 |
| Pubmed ID | |
| Authors |
Marija Buljan, Adam Frankish, Alex Bateman |
| Abstract |
Protein domains are protein regions that are shared among different proteins and are frequently functionally and structurally independent from the rest of the protein. Novel domain combinations have a major role in evolutionary innovation. However, the relative contributions of the different molecular mechanisms that underlie domain gains in animals are still unknown. By using animal gene phylogenies we were able to identify a set of high confidence domain gain events and by looking at their coding DNA investigate the causative mechanisms. |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 3% |
| United States | 3 | 2% |
| Spain | 3 | 2% |
| Brazil | 2 | 1% |
| Canada | 2 | 1% |
| Korea, Republic of | 1 | <1% |
| India | 1 | <1% |
| Sweden | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 128 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 36% |
| Researcher | 33 | 22% |
| Student > Master | 11 | 7% |
| Professor > Associate Professor | 10 | 7% |
| Student > Bachelor | 9 | 6% |
| Other | 18 | 12% |
| Unknown | 14 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 58% |
| Biochemistry, Genetics and Molecular Biology | 35 | 24% |
| Computer Science | 5 | 3% |
| Chemistry | 2 | 1% |
| Arts and Humanities | 2 | 1% |
| Other | 4 | 3% |
| Unknown | 14 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 22 October 2017.
All research outputs
#2,863,633
of 25,373,627 outputs
Outputs from Genome Biology
#2,197
of 4,467 outputs
Outputs of similar age
#10,737
of 104,834 outputs
Outputs of similar age from Genome Biology
#7
of 29 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 88th 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 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 104,834 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.