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A Method for Studying Protistan Diversity Using Massively Parallel Sequencing of V9 Hypervariable Regions of Small-Subunit Ribosomal RNA Genes

Overview of attention for article published in PLOS ONE, July 2009
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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 (51st percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
800 Dimensions

Readers on

mendeley
1034 Mendeley
citeulike
2 CiteULike
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Title
A Method for Studying Protistan Diversity Using Massively Parallel Sequencing of V9 Hypervariable Regions of Small-Subunit Ribosomal RNA Genes
Published in
PLOS ONE, July 2009
DOI 10.1371/journal.pone.0006372
Pubmed ID
Authors

Linda A. Amaral-Zettler, Elizabeth A. McCliment, Hugh W. Ducklow, Susan M. Huse

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,034 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 19 2%
Chile 6 <1%
Germany 3 <1%
France 3 <1%
Denmark 3 <1%
Canada 3 <1%
Brazil 2 <1%
Sweden 2 <1%
Norway 2 <1%
Other 13 1%
Unknown 978 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 243 24%
Researcher 230 22%
Student > Master 134 13%
Student > Bachelor 68 7%
Student > Doctoral Student 48 5%
Other 143 14%
Unknown 168 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 443 43%
Environmental Science 148 14%
Biochemistry, Genetics and Molecular Biology 117 11%
Earth and Planetary Sciences 22 2%
Immunology and Microbiology 16 2%
Other 71 7%
Unknown 217 21%
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 13 February 2024.
All research outputs
#7,547,974
of 25,907,102 outputs
Outputs from PLOS ONE
#105,804
of 225,993 outputs
Outputs of similar age
#37,927
of 123,794 outputs
Outputs of similar age from PLOS ONE
#231
of 509 outputs
Altmetric has tracked 25,907,102 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 225,993 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has gotten more attention than average, scoring higher than 52% 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 123,794 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 509 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 51% of its contemporaries.