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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptome assemblies for studying sex-biased gene expression in the guppy, Poecilia reticulata
|
|---|---|
| Published in |
BMC Genomics, May 2014
|
| DOI | 10.1186/1471-2164-15-400 |
| Pubmed ID | |
| Authors |
Eshita Sharma, Axel Künstner, Bonnie A Fraser, Gideon Zipprich, Verena A Kottler, Stefan R Henz, Detlef Weigel, Christine Dreyer |
| Abstract |
Sexually dimorphic phenotypes are generally associated with differential gene expression between the sexes. The study of molecular evolution and genomic location of these differentially expressed, or sex-biased, genes is important for understanding inter-sexual divergence under sex-specific selection pressures. Teleost fish provide a unique opportunity to examine this divergence in the presence of variable sex-determination mechanisms of recent origin. The guppy, Poecilia reticulata, displays sexual dimorphism in size, ornaments, and behavior, traits shaped by natural and sexual selection in the wild. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| Netherlands | 1 | <1% |
| Cuba | 1 | <1% |
| Brazil | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 141 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 25% |
| Researcher | 19 | 13% |
| Student > Bachelor | 18 | 12% |
| Student > Master | 17 | 12% |
| Student > Doctoral Student | 10 | 7% |
| Other | 16 | 11% |
| Unknown | 30 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 68 | 46% |
| Biochemistry, Genetics and Molecular Biology | 33 | 22% |
| Environmental Science | 2 | 1% |
| Social Sciences | 2 | 1% |
| Business, Management and Accounting | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 37 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 March 2023.
All research outputs
#7,629,858
of 26,017,215 outputs
Outputs from BMC Genomics
#3,261
of 11,367 outputs
Outputs of similar age
#67,746
of 244,876 outputs
Outputs of similar age from BMC Genomics
#65
of 268 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 69% 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 244,876 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 70% of its contemporaries.
We're also able to compare this research output to 268 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.