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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gene duplications contribute to the overrepresentation of interactions between proteins of a similar age
|
|---|---|
| Published in |
BMC Ecology and Evolution, June 2012
|
| DOI | 10.1186/1471-2148-12-99 |
| Pubmed ID | |
| Authors |
Like Fokkens, Paulien Hogeweg, Berend Snel |
| Abstract |
The study of biological networks and how they have evolved is fundamental to our understanding of the cell. By investigating how proteins of different ages are connected in the protein interaction network, one can infer how that network has expanded in evolution, without the need for explicit reconstruction of ancestral networks. Studies that implement this approach show that proteins are often connected to proteins of a similar age, suggesting a simultaneous emergence of interacting proteins. There are several theories explaining this phenomenon, but despite the importance of gene duplication in genome evolution, none consider protein family dynamics as a contributing factor. |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 4% |
| Luxembourg | 1 | 4% |
| Canada | 1 | 4% |
| Australia | 1 | 4% |
| Unknown | 24 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 39% |
| Student > Ph. D. Student | 7 | 25% |
| Student > Master | 4 | 14% |
| Student > Bachelor | 3 | 11% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 68% |
| Biochemistry, Genetics and Molecular Biology | 4 | 14% |
| Mathematics | 1 | 4% |
| Computer Science | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 September 2012.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#2,929
of 3,714 outputs
Outputs of similar age
#116,685
of 177,629 outputs
Outputs of similar age from BMC Ecology and Evolution
#39
of 59 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 14th percentile – i.e., 14% 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 177,629 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.