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Standardizing metadata and taxonomic identification in metabarcoding studies

Overview of attention for article published in Giga Science, July 2015
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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 (81st percentile)

Mentioned by

twitter
11 tweeters
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
115 Mendeley
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Title
Standardizing metadata and taxonomic identification in metabarcoding studies
Published in
Giga Science, July 2015
DOI 10.1186/s13742-015-0074-5
Pubmed ID
Authors

Leho Tedersoo, Kelly S. Ramirez, R Henrik Nilsson, Aivi Kaljuvee, Urmas Kõljalg, Kessy Abarenkov

Abstract

High-throughput sequencing-based metabarcoding studies produce vast amounts of ecological data, but a lack of consensus on standardization of metadata and how to refer to the species recovered severely hampers reanalysis and comparisons among studies. Here we propose an automated workflow covering data submission, compression, storage and public access to allow easy data retrieval and inter-study communication. Such standardized and readily accessible datasets facilitate data management, taxonomic comparisons and compilation of global metastudies.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 2 2%
Germany 1 <1%
Chile 1 <1%
Australia 1 <1%
Denmark 1 <1%
Belgium 1 <1%
Unknown 106 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 27%
Researcher 25 22%
Student > Master 20 17%
Other 8 7%
Student > Bachelor 8 7%
Other 12 10%
Unknown 11 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 54%
Environmental Science 10 9%
Biochemistry, Genetics and Molecular Biology 8 7%
Computer Science 8 7%
Engineering 5 4%
Other 10 9%
Unknown 12 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 February 2018.
All research outputs
#1,899,621
of 12,552,783 outputs
Outputs from Giga Science
#352
of 523 outputs
Outputs of similar age
#42,540
of 234,631 outputs
Outputs of similar age from Giga Science
#1
of 1 outputs
Altmetric has tracked 12,552,783 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 523 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one is in the 32nd percentile – i.e., 32% 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 234,631 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 81% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them