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Genome-wide characterization of the biggest grass, bamboo, based on 10,608 putative full-length cDNA sequences

Overview of attention for article published in BMC Plant Biology, June 2010
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Mentioned by

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1 tweeter

Citations

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77 Dimensions

Readers on

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64 Mendeley
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Title
Genome-wide characterization of the biggest grass, bamboo, based on 10,608 putative full-length cDNA sequences
Published in
BMC Plant Biology, June 2010
DOI 10.1186/1471-2229-10-116
Pubmed ID
Authors

Zhenhua Peng, Tingting Lu, Lubin Li, Xiaohui Liu, Zhimin Gao, Tao Hu, Xuewen Yang, Qi Feng, Jianping Guan, Qijun Weng, Danlin Fan, Chuanrang Zhu, Ying Lu, Bin Han, Zehui Jiang

Abstract

With the availability of rice and sorghum genome sequences and ongoing efforts to sequence genomes of other cereal and energy crops, the grass family (Poaceae) has become a model system for comparative genomics and for better understanding gene and genome evolution that underlies phenotypic and ecological divergence of plants. While the genomic resources have accumulated rapidly for almost all major lineages of grasses, bamboo remains the only large subfamily of Poaceae with little genomic information available in databases, which seriously hampers our ability to take a full advantage of the wealth of grass genomic data for effective comparative studies.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Colombia 1 2%
Russia 1 2%
Unknown 61 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 33%
Student > Ph. D. Student 13 20%
Student > Master 9 14%
Professor 5 8%
Student > Bachelor 4 6%
Other 8 13%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 59%
Biochemistry, Genetics and Molecular Biology 10 16%
Environmental Science 3 5%
Earth and Planetary Sciences 2 3%
Engineering 2 3%
Other 3 5%
Unknown 6 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 December 2012.
All research outputs
#7,785,415
of 12,410,450 outputs
Outputs from BMC Plant Biology
#760
of 1,566 outputs
Outputs of similar age
#142,906
of 263,086 outputs
Outputs of similar age from BMC Plant Biology
#53
of 103 outputs
Altmetric has tracked 12,410,450 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,566 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 41st percentile – i.e., 41% 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 263,086 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.