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Detection of Seven Major Evolutionary Lineages in Cyanobacteria Based on the 16S rRNA Gene Sequence Analysis with New Sequences of Five Marine Synechococcus Strains

Overview of attention for article published in Journal of Molecular Evolution, June 1999
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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1 X user
patent
2 patents

Citations

dimensions_citation
223 Dimensions

Readers on

mendeley
167 Mendeley
citeulike
1 CiteULike
Title
Detection of Seven Major Evolutionary Lineages in Cyanobacteria Based on the 16S rRNA Gene Sequence Analysis with New Sequences of Five Marine Synechococcus Strains
Published in
Journal of Molecular Evolution, June 1999
DOI 10.1007/pl00006517
Pubmed ID
Authors

Daiske Honda, Akira Yokota, Junta Sugiyama

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 2%
United States 4 2%
Canada 3 2%
Germany 2 1%
Mexico 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 151 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 26%
Student > Master 22 13%
Student > Ph. D. Student 19 11%
Professor 17 10%
Professor > Associate Professor 16 10%
Other 28 17%
Unknown 21 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 97 58%
Biochemistry, Genetics and Molecular Biology 17 10%
Environmental Science 8 5%
Earth and Planetary Sciences 8 5%
Immunology and Microbiology 5 3%
Other 7 4%
Unknown 25 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 September 2019.
All research outputs
#8,261,140
of 25,371,288 outputs
Outputs from Journal of Molecular Evolution
#471
of 1,477 outputs
Outputs of similar age
#11,376
of 35,791 outputs
Outputs of similar age from Journal of Molecular Evolution
#4
of 14 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,477 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 67% 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 35,791 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.