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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The goose genome sequence leads to insights into the evolution of waterfowl and susceptibility to fatty liver
|
|---|---|
| Published in |
Genome Biology, May 2015
|
| DOI | 10.1186/s13059-015-0652-y |
| Pubmed ID | |
| Authors |
Lizhi Lu, Yan Chen, Zhuo Wang, Xiaofeng Li, Weihu Chen, Zhengrong Tao, Junda Shen, Yong Tian, Deqian Wang, Guoqin Li, Li Chen, Fang Chen, Dongming Fang, Lili Yu, Yudong Sun, Yong Ma, Jinjun Li, Jun Wang |
| Abstract |
Geese were domesticated over 6,000 years ago, making them one of the first domesticated poultry. Geese are capable of rapid growth, disease resistance, and high liver lipid storage capacity, and can be easily fed coarse fodder. Here, we sequence and analyze the whole-genome sequence of an economically important goose breed in China and compare it with that of terrestrial bird species. A draft sequence of the whole-goose genome was obtained by shotgun sequencing, and 16,150 protein-coding genes were predicted. Comparative genomics indicate that significant differences occur between the goose genome and that of other terrestrial bird species, particularly regarding major histocompatibility complex, Myxovirus resistance, Retinoic acid-inducible gene I, and other genes related to disease resistance in geese. In addition, analysis of transcriptome data further reveals a potential molecular mechanism involved in the susceptibility of geese to fatty liver disease and its associated symptoms, including high levels of unsaturated fatty acids and low levels of cholesterol. The results of this study show that deletion of the goose lep gene might be the result of positive selection, thus allowing the liver to adopt energy storage mechanisms for long-distance migration. This is the first report describing the complete goose genome sequence and contributes to genomic resources available for studying aquatic birds. The findings in this study are useful not only for genetic breeding programs, but also for studying lipid metabolism disorders. |
X Demographics
The data shown below were collected from the profiles of 26 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 | 7 | 27% |
| United States | 4 | 15% |
| India | 2 | 8% |
| Germany | 1 | 4% |
| China | 1 | 4% |
| Austria | 1 | 4% |
| Unknown | 10 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 46% |
| Scientists | 10 | 38% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 1% |
| Canada | 1 | 1% |
| New Zealand | 1 | 1% |
| Taiwan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 85 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 23% |
| Researcher | 18 | 20% |
| Student > Master | 9 | 10% |
| Student > Doctoral Student | 6 | 7% |
| Student > Bachelor | 4 | 4% |
| Other | 14 | 16% |
| Unknown | 18 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 46% |
| Biochemistry, Genetics and Molecular Biology | 14 | 16% |
| Computer Science | 3 | 3% |
| Veterinary Science and Veterinary Medicine | 2 | 2% |
| Engineering | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 23 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 16 June 2015.
All research outputs
#1,631,873
of 25,373,627 outputs
Outputs from Genome Biology
#1,332
of 4,467 outputs
Outputs of similar age
#20,293
of 279,099 outputs
Outputs of similar age from Genome Biology
#22
of 76 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 70% 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 279,099 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.