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The impact of depuration on mussel hepatopancreas bacteriome composition and predicted metagenome

Overview of attention for article published in Antonie van Leeuwenhoek, January 2018
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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 (78th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters

Citations

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1 Dimensions

Readers on

mendeley
6 Mendeley
Title
The impact of depuration on mussel hepatopancreas bacteriome composition and predicted metagenome
Published in
Antonie van Leeuwenhoek, January 2018
DOI 10.1007/s10482-018-1015-y
Pubmed ID
Authors

J. A. Rubiolo, A. Lozano-Leon, R. Rodriguez-Souto, N. Fol Rodríguez, M. R. Vieytes, L. M. Botana

Abstract

Due to the rapid elimination of bacteria through normal behaviour of filter feeding and excretion, the decontamination of hazardous contaminating bacteria from shellfish is performed by depuration. This process, under conditions that maximize shellfish filtering activity, is a useful method to eliminate microorganisms from bivalves. The microbiota composition in bivalves reflects that of the environment of harvesting waters, so quite different bacteriomes would be expected in shellfish collected in different locations. Bacterial accumulation within molluscan shellfish occurs primarily in the hepatopancreas. In order to assess the effect of the depuration process on these different bacteriomes, in this work we used 16S RNA pyrosequencing and metagenome prediction to assess the impact of 15 h of depuration on the whole hepatopancreas bacteriome of mussels collected in three different locations.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 50%
Unspecified 2 33%
Professor 1 17%
Readers by discipline Count As %
Unspecified 2 33%
Biochemistry, Genetics and Molecular Biology 1 17%
Environmental Science 1 17%
Agricultural and Biological Sciences 1 17%
Engineering 1 17%
Other 0 0%

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 19 January 2018.
All research outputs
#1,822,366
of 12,387,983 outputs
Outputs from Antonie van Leeuwenhoek
#70
of 1,325 outputs
Outputs of similar age
#70,747
of 339,087 outputs
Outputs of similar age from Antonie van Leeuwenhoek
#2
of 26 outputs
Altmetric has tracked 12,387,983 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,325 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 94% 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 339,087 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 78% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.