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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diversification of a single ancestral gene into a successful toxin superfamily in highly venomous Australian funnel-web spiders
|
|---|---|
| Published in |
BMC Genomics, March 2014
|
| DOI | 10.1186/1471-2164-15-177 |
| Pubmed ID | |
| Authors |
Sandy S Pineda, Brianna L Sollod, David Wilson, Aaron Darling, Kartik Sunagar, Eivind A B Undheim, Laurence Kely, Agostinho Antunes, Bryan G Fry, Glenn F King |
| Abstract |
Spiders have evolved pharmacologically complex venoms that serve to rapidly subdue prey and deter predators. The major toxic factors in most spider venoms are small, disulfide-rich peptides. While there is abundant evidence that snake venoms evolved by recruitment of genes encoding normal body proteins followed by extensive gene duplication accompanied by explosive structural and functional diversification, the evolutionary trajectory of spider-venom peptides is less clear. |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 2% |
| Chile | 1 | 1% |
| Unknown | 80 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 22% |
| Researcher | 14 | 17% |
| Student > Bachelor | 11 | 13% |
| Student > Master | 10 | 12% |
| Student > Doctoral Student | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 15 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 35% |
| Biochemistry, Genetics and Molecular Biology | 19 | 23% |
| Chemistry | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Environmental Science | 2 | 2% |
| Other | 10 | 12% |
| Unknown | 17 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 30 June 2022.
All research outputs
#5,981,606
of 23,881,329 outputs
Outputs from BMC Genomics
#2,400
of 10,793 outputs
Outputs of similar age
#53,952
of 223,711 outputs
Outputs of similar age from BMC Genomics
#23
of 150 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 77% 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 223,711 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 75% of its contemporaries.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.