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Whole-genome sequencing of Mesorhizobium huakuii 7653R provides molecular insights into host specificity and symbiosis island dynamics

Overview of attention for article published in BMC Genomics, June 2014
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Title
Whole-genome sequencing of Mesorhizobium huakuii 7653R provides molecular insights into host specificity and symbiosis island dynamics
Published in
BMC Genomics, June 2014
DOI 10.1186/1471-2164-15-440
Pubmed ID
Authors

Shanming Wang, Baohai Hao, Jiarui Li, Huilin Gu, Jieli Peng, Fuli Xie, Xinyin Zhao, Christian Frech, Nansheng Chen, Binguang Ma, Youguo Li

Abstract

Evidence based on genomic sequences is urgently needed to confirm the phylogenetic relationship between Mesorhizobium strain MAFF303099 and M. huakuii. To define underlying causes for the rather striking difference in host specificity between M. huakuii strain 7653R and MAFF303099, several probable determinants also require comparison at the genomic level. An improved understanding of mobile genetic elements that can be integrated into the main chromosomes of Mesorhizobium to form genomic islands would enrich our knowledge of how genome dynamics may contribute to Mesorhizobium evolution in general.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

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 %
United States 2 3%
France 1 2%
Austria 1 2%
United Kingdom 1 2%
Brazil 1 2%
China 1 2%
Argentina 1 2%
Unknown 56 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Student > Master 13 20%
Researcher 12 19%
Student > Doctoral Student 8 13%
Student > Bachelor 3 5%
Other 6 9%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 55%
Biochemistry, Genetics and Molecular Biology 11 17%
Computer Science 3 5%
Social Sciences 2 3%
Immunology and Microbiology 2 3%
Other 3 5%
Unknown 8 13%
Attention Score in Context

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 08 June 2014.
All research outputs
#18,373,576
of 22,757,090 outputs
Outputs from BMC Genomics
#8,165
of 10,637 outputs
Outputs of similar age
#164,337
of 228,641 outputs
Outputs of similar age from BMC Genomics
#135
of 209 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 228,641 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.