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Overexpression of the Chromosome Partitioning Gene parA in Azorhizobium caulinodans ORS571 Alters the Bacteroid Morphotype in Sesbania rostrata Stem Nodules

Overview of attention for article published in Frontiers in Microbiology, October 2019
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Citations

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Title
Overexpression of the Chromosome Partitioning Gene parA in Azorhizobium caulinodans ORS571 Alters the Bacteroid Morphotype in Sesbania rostrata Stem Nodules
Published in
Frontiers in Microbiology, October 2019
DOI 10.3389/fmicb.2019.02422
Pubmed ID
Authors

Hsiao-Lin Chien, Wan-Zhen Huang, Ming-Yen Tsai, Chiung-Hsiang Cheng, Chi-Te Liu

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Professor 1 10%
Other 1 10%
Student > Bachelor 1 10%
Lecturer 1 10%
Other 2 20%
Unknown 2 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 40%
Agricultural and Biological Sciences 3 30%
Earth and Planetary Sciences 1 10%
Unknown 2 20%
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 23 November 2019.
All research outputs
#18,034,866
of 23,170,347 outputs
Outputs from Frontiers in Microbiology
#17,552
of 25,399 outputs
Outputs of similar age
#253,683
of 360,753 outputs
Outputs of similar age from Frontiers in Microbiology
#510
of 745 outputs
Altmetric has tracked 23,170,347 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,399 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 22nd percentile – i.e., 22% 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 360,753 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 745 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.