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The Road to Metagenomics: From Microbiology to DNA Sequencing Technologies and Bioinformatics

Overview of attention for article published in Frontiers in Genetics, December 2015
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
42 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
275 Dimensions

Readers on

mendeley
1271 Mendeley
citeulike
2 CiteULike
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Title
The Road to Metagenomics: From Microbiology to DNA Sequencing Technologies and Bioinformatics
Published in
Frontiers in Genetics, December 2015
DOI 10.3389/fgene.2015.00348
Pubmed ID
Authors

Alejandra Escobar-Zepeda, Arturo Vera-Ponce de León, Alejandro Sanchez-Flores

Abstract

The study of microorganisms that pervade each and every part of this planet has encountered many challenges through time such as the discovery of unknown organisms and the understanding of how they interact with their environment. The aim of this review is to take the reader along the timeline and major milestones that led us to modern metagenomics. This new and thriving area is likely to be an important contributor to solve different problems. The transition from classical microbiology to modern metagenomics studies has required the development of new branches of knowledge and specialization. Here, we will review how the availability of high-throughput sequencing technologies has transformed microbiology and bioinformatics and how to tackle the inherent computational challenges that arise from the DNA sequencing revolution. New computational methods are constantly developed to collect, process, and extract useful biological information from a variety of samples and complex datasets, but metagenomics needs the integration of several of these computational methods. Despite the level of specialization needed in bioinformatics, it is important that life-scientists have a good understanding of it for a correct experimental design, which allows them to reveal the information in a metagenome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 1,271 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 <1%
Brazil 6 <1%
United Kingdom 4 <1%
Argentina 2 <1%
Mexico 2 <1%
Italy 2 <1%
Germany 2 <1%
Sweden 1 <1%
France 1 <1%
Other 11 <1%
Unknown 1233 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 222 17%
Student > Master 218 17%
Student > Bachelor 182 14%
Researcher 175 14%
Student > Doctoral Student 70 6%
Other 160 13%
Unknown 244 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 364 29%
Biochemistry, Genetics and Molecular Biology 331 26%
Immunology and Microbiology 72 6%
Environmental Science 72 6%
Engineering 28 2%
Other 127 10%
Unknown 277 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 13 September 2022.
All research outputs
#1,071,209
of 25,736,439 outputs
Outputs from Frontiers in Genetics
#175
of 13,784 outputs
Outputs of similar age
#17,148
of 382,062 outputs
Outputs of similar age from Frontiers in Genetics
#4
of 44 outputs
Altmetric has tracked 25,736,439 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 13,784 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 98% 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 382,062 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 95% of its contemporaries.
We're also able to compare this research output to 44 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.