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Attention Score in Context
| Title |
A physical map for the Amborella trichopodagenome sheds light on the evolution of angiosperm genome structure
|
|---|---|
| Published in |
Genome Biology, May 2011
|
| DOI | 10.1186/gb-2011-12-5-r48 |
| Pubmed ID | |
| Authors |
Andrea Zuccolo, John E Bowers, James C Estill, Zhiyong Xiong, Meizhong Luo, Aswathy Sebastian, José Luis Goicoechea, Kristi Collura, Yeisoo Yu, Yuannian Jiao, Jill Duarte, Haibao Tang, Saravanaraj Ayyampalayam, Steve Rounsley, Dave Kudrna, Andrew H Paterson, J Chris Pires, Andre Chanderbali, Douglas E Soltis, Srikar Chamala, Brad Barbazuk, Pamela S Soltis, Victor A Albert, Hong Ma, Dina Mandoli, Jody Banks, John E Carlson, Jeffrey Tomkins, Claude W dePamphilis, Rod A Wing, Jim Leebens-Mack |
| Abstract |
Recent phylogenetic analyses have identified Amborella trichopoda, an understory tree species endemic to the forests of New Caledonia, as sister to a clade including all other known flowering plant species. The Amborella genome is a unique reference for understanding the evolution of angiosperm genomes because it can serve as an outgroup to root comparative analyses. A physical map, BAC end sequences and sample shotgun sequences provide a first view of the 870 Mbp Amborella genome. |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Norway | 2 | 2% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Italy | 1 | <1% |
| New Zealand | 1 | <1% |
| Canada | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 91 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 25% |
| Researcher | 26 | 25% |
| Professor > Associate Professor | 12 | 11% |
| Professor | 9 | 8% |
| Student > Bachelor | 7 | 7% |
| Other | 17 | 16% |
| Unknown | 8 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 70 | 66% |
| Biochemistry, Genetics and Molecular Biology | 17 | 16% |
| Computer Science | 2 | 2% |
| Environmental Science | 2 | 2% |
| Engineering | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 10 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 April 2019.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#45,857
of 123,322 outputs
Outputs of similar age from Genome Biology
#24
of 33 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
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 is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 123,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.