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Daring to be differential: metabarcoding analysis of soil and plant-related microbial communities using amplicon sequence variants and operational taxonomical units

Overview of attention for article published in BMC Genomics, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
206 Mendeley
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Title
Daring to be differential: metabarcoding analysis of soil and plant-related microbial communities using amplicon sequence variants and operational taxonomical units
Published in
BMC Genomics, October 2020
DOI 10.1186/s12864-020-07126-4
Pubmed ID
Authors

Lisa Joos, Stien Beirinckx, Annelies Haegeman, Jane Debode, Bart Vandecasteele, Steve Baeyen, Sofie Goormachtig, Lieven Clement, Caroline De Tender

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 206 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 22%
Researcher 33 16%
Student > Master 31 15%
Student > Bachelor 15 7%
Student > Doctoral Student 14 7%
Other 16 8%
Unknown 51 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 35%
Biochemistry, Genetics and Molecular Biology 33 16%
Environmental Science 19 9%
Unspecified 5 2%
Business, Management and Accounting 3 1%
Other 18 9%
Unknown 56 27%
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 28 October 2020.
All research outputs
#3,340,302
of 23,253,955 outputs
Outputs from BMC Genomics
#1,279
of 10,734 outputs
Outputs of similar age
#87,540
of 419,872 outputs
Outputs of similar age from BMC Genomics
#18
of 195 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,734 research outputs from this source. They receive a mean Attention Score of 4.7. 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 419,872 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 79% of its contemporaries.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.