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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The genome sequence of the orchid Phalaenopsis equestris
|
|---|---|
| Published in |
Nature Genetics, November 2014
|
| DOI | 10.1038/ng.3149 |
| Pubmed ID | |
| Authors |
Jing Cai, Xin Liu, Kevin Vanneste, Sebastian Proost, Wen-Chieh Tsai, Ke-Wei Liu, Li-Jun Chen, Ying He, Qing Xu, Chao Bian, Zhijun Zheng, Fengming Sun, Weiqing Liu, Yu-Yun Hsiao, Zhao-Jun Pan, Chia-Chi Hsu, Ya-Ping Yang, Yi-Chin Hsu, Yu-Chen Chuang, Anne Dievart, Jean-Francois Dufayard, Xun Xu, Jun-Yi Wang, Jun Wang, Xin-Ju Xiao, Xue-Min Zhao, Rong Du, Guo-Qiang Zhang, Meina Wang, Yong-Yu Su, Gao-Chang Xie, Guo-Hui Liu, Li-Qiang Li, Lai-Qiang Huang, Yi-Bo Luo, Hong-Hwa Chen, Yves Van de Peer, Zhong-Jian Liu |
| Abstract |
Orchidaceae, renowned for its spectacular flowers and other reproductive and ecological adaptations, is one of the most diverse plant families. Here we present the genome sequence of the tropical epiphytic orchid Phalaenopsis equestris, a frequently used parent species for orchid breeding. P. equestris is the first plant with crassulacean acid metabolism (CAM) for which the genome has been sequenced. Our assembled genome contains 29,431 predicted protein-coding genes. We find that contigs likely to be underassembled, owing to heterozygosity, are enriched for genes that might be involved in self-incompatibility pathways. We find evidence for an orchid-specific paleopolyploidy event that preceded the radiation of most orchid clades, and our results suggest that gene duplication might have contributed to the evolution of CAM photosynthesis in P. equestris. Finally, we find expanded and diversified families of MADS-box C/D-class, B-class AP3 and AGL6-class genes, which might contribute to the highly specialized morphology of orchid flowers. |
X Demographics
The data shown below were collected from the profiles of 87 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 | 23 | 26% |
| United Kingdom | 9 | 10% |
| Canada | 4 | 5% |
| Brazil | 3 | 3% |
| Japan | 2 | 2% |
| Germany | 2 | 2% |
| Netherlands | 2 | 2% |
| Finland | 1 | 1% |
| Colombia | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 36 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 47 | 54% |
| Scientists | 34 | 39% |
| Science communicators (journalists, bloggers, editors) | 5 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 465 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 5 | 1% |
| United States | 4 | <1% |
| Netherlands | 2 | <1% |
| China | 2 | <1% |
| Norway | 2 | <1% |
| Brazil | 2 | <1% |
| Czechia | 1 | <1% |
| Paraguay | 1 | <1% |
| Canada | 1 | <1% |
| Other | 9 | 2% |
| Unknown | 436 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 90 | 19% |
| Student > Ph. D. Student | 82 | 18% |
| Student > Master | 59 | 13% |
| Student > Bachelor | 32 | 7% |
| Professor | 23 | 5% |
| Other | 87 | 19% |
| Unknown | 92 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 239 | 51% |
| Biochemistry, Genetics and Molecular Biology | 82 | 18% |
| Computer Science | 13 | 3% |
| Environmental Science | 8 | 2% |
| Engineering | 5 | 1% |
| Other | 16 | 3% |
| Unknown | 102 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 105. 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 07 November 2022.
All research outputs
#401,635
of 25,394,764 outputs
Outputs from Nature Genetics
#812
of 7,575 outputs
Outputs of similar age
#4,632
of 369,657 outputs
Outputs of similar age from Nature Genetics
#7
of 59 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,575 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has done well, scoring higher than 89% 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 369,657 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 98% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.