↓ Skip to main content

Coverage evaluation of universal bacterial primers using the metagenomic datasets

Overview of attention for article published in BMC Microbiology, May 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
192 Dimensions

Readers on

mendeley
472 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Coverage evaluation of universal bacterial primers using the metagenomic datasets
Published in
BMC Microbiology, May 2012
DOI 10.1186/1471-2180-12-66
Pubmed ID
Authors

Dan-Ping Mao, Quan Zhou, Chong-Yu Chen, Zhe-Xue Quan

Abstract

The coverage of universal primers for the bacterial 16S rRNA gene plays a crucial role in the correct understanding of microbial community structure. However, existing studies on primer coverage are limited by the lack of appropriate databases and are restricted to the domain level. Additionally, most studies do not account for the positional effect of single primer-template mismatches. In this study, we used 7 metagenomic datasets as well as the Ribosomal Database Project (RDP) to assess the coverage of 8 widely used bacterial primers.

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 472 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 3%
Germany 3 <1%
Argentina 2 <1%
France 1 <1%
Italy 1 <1%
Brazil 1 <1%
Sweden 1 <1%
South Africa 1 <1%
India 1 <1%
Other 10 2%
Unknown 438 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 112 24%
Student > Ph. D. Student 109 23%
Student > Master 68 14%
Student > Bachelor 47 10%
Student > Doctoral Student 23 5%
Other 70 15%
Unknown 43 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 254 54%
Biochemistry, Genetics and Molecular Biology 63 13%
Environmental Science 35 7%
Immunology and Microbiology 21 4%
Medicine and Dentistry 13 3%
Other 29 6%
Unknown 57 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 May 2017.
All research outputs
#12,854,097
of 22,665,794 outputs
Outputs from BMC Microbiology
#1,150
of 3,162 outputs
Outputs of similar age
#87,912
of 163,491 outputs
Outputs of similar age from BMC Microbiology
#12
of 20 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,162 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 62% 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 163,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.