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Ultra-deep sequencing enables high-fidelity recovery of biodiversity for bulk arthropod samples without PCR amplification

Overview of attention for article published in Giga Science, March 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
16 X users
peer_reviews
1 peer review site
facebook
1 Facebook page
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
256 Dimensions

Readers on

mendeley
388 Mendeley
citeulike
1 CiteULike
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Title
Ultra-deep sequencing enables high-fidelity recovery of biodiversity for bulk arthropod samples without PCR amplification
Published in
Giga Science, March 2013
DOI 10.1186/2047-217x-2-4
Pubmed ID
Authors

Xin Zhou, Yiyuan Li, Shanlin Liu, Qing Yang, Xu Su, Lili Zhou, Min Tang, Ribei Fu, Jiguang Li, Quanfei Huang

Abstract

Next-generation-sequencing (NGS) technologies combined with a classic DNA barcoding approach have enabled fast and credible measurement for biodiversity of mixed environmental samples. However, the PCR amplification involved in nearly all existing NGS protocols inevitably introduces taxonomic biases. In the present study, we developed new Illumina pipelines without PCR amplifications to analyze terrestrial arthropod communities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 388 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Germany 3 <1%
United Kingdom 3 <1%
Australia 3 <1%
Hong Kong 3 <1%
Spain 2 <1%
Brazil 2 <1%
Netherlands 2 <1%
Switzerland 1 <1%
Other 12 3%
Unknown 351 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 101 26%
Researcher 89 23%
Student > Master 59 15%
Student > Bachelor 28 7%
Other 18 5%
Other 53 14%
Unknown 40 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 211 54%
Environmental Science 50 13%
Biochemistry, Genetics and Molecular Biology 46 12%
Computer Science 6 2%
Earth and Planetary Sciences 6 2%
Other 13 3%
Unknown 56 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 18 December 2020.
All research outputs
#1,044,424
of 26,017,215 outputs
Outputs from Giga Science
#156
of 1,176 outputs
Outputs of similar age
#7,454
of 214,596 outputs
Outputs of similar age from Giga Science
#2
of 6 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one has done well, scoring higher than 86% 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 214,596 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.