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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gene duplication in an African cichlid adaptive radiation
|
|---|---|
| Published in |
BMC Genomics, February 2014
|
| DOI | 10.1186/1471-2164-15-161 |
| Pubmed ID | |
| Authors |
Heather E Machado, Ginger Jui, Domino A Joyce, Christian RL Reilly, David H Lunt, Suzy CP Renn |
| Abstract |
Gene duplication is a source of evolutionary innovation and can contribute to the divergence of lineages; however, the relative importance of this process remains to be determined. The explosive divergence of the African cichlid adaptive radiations provides both a model for studying the general role of gene duplication in the divergence of lineages and also an exciting foray into the identification of genomic features that underlie the dramatic phenotypic and ecological diversification in this particular lineage. We present the first genome-wide study of gene duplication in African cichlid fishes, identifying gene duplicates in three species belonging to the Lake Malawi adaptive radiation (Metriaclima estherae, Protomelas similis, Rhamphochromis "chilingali") and one closely related species from a non-radiated riverine lineage (Astatotilapia tweddlei). |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 5 | 45% |
| France | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 73% |
| Members of the public | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| Japan | 1 | 2% |
| Unknown | 43 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 24% |
| Student > Master | 11 | 24% |
| Student > Ph. D. Student | 10 | 22% |
| Student > Bachelor | 3 | 7% |
| Professor | 3 | 7% |
| Other | 6 | 13% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 65% |
| Biochemistry, Genetics and Molecular Biology | 7 | 15% |
| Environmental Science | 4 | 9% |
| Computer Science | 1 | 2% |
| Neuroscience | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 3 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 14 February 2016.
All research outputs
#4,590,492
of 22,745,803 outputs
Outputs from BMC Genomics
#1,930
of 10,634 outputs
Outputs of similar age
#45,950
of 221,189 outputs
Outputs of similar age from BMC Genomics
#19
of 156 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,634 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 81% 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 221,189 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 79% of its contemporaries.
We're also able to compare this research output to 156 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.