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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evolutionary rate patterns of genes involved in the Drosophila Toll and Imd signaling pathway
|
|---|---|
| Published in |
BMC Ecology and Evolution, November 2013
|
| DOI | 10.1186/1471-2148-13-245 |
| Pubmed ID | |
| Authors |
Ming Han, Sheng Qin, Xiaojun Song, Yafang Li, Ping Jin, Liming Chen, Fei Ma |
| Abstract |
To survive in a hostile environment, insects have evolved an innate immune system to defend against infection. Studies have shown that natural selection may drive the evolution of immune system-related proteins. Yet, how network architecture influences protein sequence evolution remains unclear. Here, we analyzed the molecular evolutionary patterns of genes in the Toll and Imd innate immune signaling pathways across six Drosophila genomes within the context of a functional network. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Switzerland | 1 | 2% |
| Netherlands | 1 | 2% |
| Austria | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 46 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 27% |
| Researcher | 8 | 16% |
| Student > Master | 7 | 14% |
| Professor | 4 | 8% |
| Professor > Associate Professor | 4 | 8% |
| Other | 8 | 16% |
| Unknown | 6 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 55% |
| Biochemistry, Genetics and Molecular Biology | 11 | 22% |
| Chemistry | 2 | 4% |
| Unknown | 10 | 20% |
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 12 November 2013.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#3,267
of 3,714 outputs
Outputs of similar age
#172,672
of 229,118 outputs
Outputs of similar age from BMC Ecology and Evolution
#58
of 68 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 5th percentile – i.e., 5% 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 229,118 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.