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Genomic GC-Content Affects the Accuracy of 16S rRNA Gene Sequencing Based Microbial Profiling due to PCR Bias

Overview of attention for article published in Frontiers in Microbiology, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
119 Mendeley
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Title
Genomic GC-Content Affects the Accuracy of 16S rRNA Gene Sequencing Based Microbial Profiling due to PCR Bias
Published in
Frontiers in Microbiology, October 2017
DOI 10.3389/fmicb.2017.01934
Pubmed ID
Authors

Martin F. Laursen, Marlene D. Dalgaard, Martin I. Bahl

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 119 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 24%
Student > Bachelor 23 19%
Student > Master 19 16%
Researcher 17 14%
Student > Postgraduate 6 5%
Other 11 9%
Unknown 15 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 33%
Biochemistry, Genetics and Molecular Biology 32 27%
Immunology and Microbiology 7 6%
Environmental Science 6 5%
Medicine and Dentistry 4 3%
Other 12 10%
Unknown 19 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 October 2017.
All research outputs
#3,718,315
of 25,837,817 outputs
Outputs from Frontiers in Microbiology
#3,320
of 29,749 outputs
Outputs of similar age
#64,226
of 333,935 outputs
Outputs of similar age from Frontiers in Microbiology
#104
of 527 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,749 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 88% 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 333,935 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 527 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.