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Metagenomic and metatranscriptomic inventories of the lower Amazon River, May 2011

Overview of attention for article published in Microbiome, January 2015
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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 (73rd percentile)

Mentioned by

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10 tweeters

Citations

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45 Dimensions

Readers on

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119 Mendeley
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Title
Metagenomic and metatranscriptomic inventories of the lower Amazon River, May 2011
Published in
Microbiome, January 2015
DOI 10.1186/s40168-015-0099-0
Pubmed ID
Authors

Satinsky, Brandon M, Fortunato, Caroline S, Doherty, Mary, Smith, Christa B, Sharma, Shalabh, Ward, Nicholas D, Krusche, Alex V, Yager, Patricia L, Richey, Jeffrey E, Moran, Mary Ann, Crump, Byron C

Abstract

The Amazon River runs nearly 6500 km across the South American continent before emptying into the western tropical North Atlantic Ocean. In terms of both volume and watershed area, it is the world's largest riverine system, affecting elemental cycling on a global scale. A quantitative inventory of genes and transcripts benchmarked with internal standards was obtained at five stations in the lower Amazon River during May 2011. At each station, metagenomes and metatranscriptomes were obtained in duplicate for two microbial size fractions (free-living, 0.2 to 2.0 μm; particle-associated, 2.0 to 297 μm) using 150 × 150 paired-end Illumina sequencing. Forty eight sample datasets were obtained, averaging 15 × 10(6) potential protein-encoding reads each (730 × 10(6) total). Prokaryotic metagenomes and metatranscriptomes were dominated by members of the phyla Actinobacteria, Planctomycetes, Betaproteobacteria, Verrucomicrobia, Nitrospirae, and Acidobacteria. The actinobacterium SCGC AAA027-L06 reference genome recruited the greatest number of reads overall, with this single bin contributing an average of 50 billion genes and 500 million transcripts per liter of river water. Several dominant taxa were unevenly distributed between the free-living and particle-associated size fractions, such as a particle-associated bias for reads binning to planctomycete Schlesneria paludicola and a free-living bias for actinobacterium SCGC AAA027-L06. Gene expression ratios (transcripts to gene copy ratio) increased downstream from Óbidos to Macapá and Belém, indicating higher per cell activity of Amazon River bacteria and archaea as river water approached the ocean. This inventory of riverine microbial genes and transcripts, benchmarked with internal standards for full quantitation, provides an unparalleled window into microbial taxa and functions in the globally important Amazon River ecosystem.

Twitter Demographics

The data shown below were collected from the profiles of 10 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Japan 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 114 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 28%
Researcher 15 13%
Student > Doctoral Student 13 11%
Student > Master 12 10%
Student > Bachelor 9 8%
Other 21 18%
Unknown 16 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 36%
Environmental Science 19 16%
Biochemistry, Genetics and Molecular Biology 15 13%
Earth and Planetary Sciences 8 7%
Engineering 3 3%
Other 9 8%
Unknown 22 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 May 2016.
All research outputs
#1,672,769
of 7,659,635 outputs
Outputs from Microbiome
#235
of 278 outputs
Outputs of similar age
#58,946
of 228,697 outputs
Outputs of similar age from Microbiome
#19
of 19 outputs
Altmetric has tracked 7,659,635 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 278 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.9. This one is in the 15th percentile – i.e., 15% 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 228,697 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.