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The sponge microbiome project

Overview of attention for article published in Giga Science, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
15 X users
peer_reviews
1 peer review site
facebook
2 Facebook pages

Citations

dimensions_citation
179 Dimensions

Readers on

mendeley
252 Mendeley
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Title
The sponge microbiome project
Published in
Giga Science, August 2017
DOI 10.1093/gigascience/gix077
Pubmed ID
Authors

Lucas Moitinho-Silva, Shaun Nielsen, Amnon Amir, Antonio Gonzalez, Gail L. Ackermann, Carlo Cerrano, Carmen Astudillo-Garcia, Cole Easson, Detmer Sipkema, Fang Liu, Georg Steinert, Giorgos Kotoulas, Grace P. McCormack, Guofang Feng, James J. Bell, Jan Vicente, Johannes R. Björk, Jose M. Montoya, Julie B. Olson, Julie Reveillaud, Laura Steindler, Mari-Carmen Pineda, Maria V. Marra, Micha Ilan, Michael W. Taylor, Paraskevi Polymenakou, Patrick M. Erwin, Peter J. Schupp, Rachel L. Simister, Rob Knight, Robert W. Thacker, Rodrigo Costa, Russell T. Hill, Susanna Lopez-Legentil, Thanos Dailianis, Timothy Ravasi, Ute Hentschel, Zhiyong Li, Nicole S. Webster, Torsten Thomas

Abstract

Marine sponges (phylum Porifera) are a diverse, phylogenetically deep-branching clade known for forming intimate partnerships with complex communities of microorganisms. To date, 16S rRNA gene sequencing studies have largely utilised different extraction and amplification methodologies to target the microbial communities of a limited number of sponge species, severely limiting comparative analyses of sponge microbial diversity and structure. Here, we provide an extensive and standardised dataset that will facilitate sponge microbiome comparisons across large spatial, temporal, and environmental scales. Samples from marine sponges (n = 3569 specimens), seawater (n = 370), marine sediments (n = 65) and other environments (n = 29) were collected from different locations across the globe. This dataset incorporates at least 268 different sponge species, including several yet unidentified taxa. The V4 region of the 16S rRNA gene was amplified and sequenced from extracted DNA using standardised procedures. Raw sequences (total of 1.1 billion sequences) were processed and clustered with (i) a standard protocol using QIIME closed-reference picking resulting in 39 543 operational taxonomic units (OTU) at 97% sequence identity, (ii) a de novo clustering using Mothur resulting in 518 246 OTUs, and (iii) a new high-resolution Deblur protocol resulting in 83 908 unique bacterial sequences. Abundance tables, representative sequences, taxonomic classifications, and metadata are provided. This dataset represents a comprehensive resource of sponge-associated microbial communities based on 16S rRNA gene sequences that can be used to address overarching hypotheses regarding host-associated prokaryotes, including host specificity, convergent evolution, environmental drivers of microbiome structure, and the sponge-associated rare biosphere.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 252 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 252 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 18%
Researcher 44 17%
Student > Master 32 13%
Student > Bachelor 31 12%
Other 10 4%
Other 27 11%
Unknown 63 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 27%
Biochemistry, Genetics and Molecular Biology 49 19%
Environmental Science 23 9%
Immunology and Microbiology 11 4%
Physics and Astronomy 7 3%
Other 24 10%
Unknown 71 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 25 June 2023.
All research outputs
#1,555,928
of 25,611,630 outputs
Outputs from Giga Science
#269
of 1,174 outputs
Outputs of similar age
#28,766
of 309,807 outputs
Outputs of similar age from Giga Science
#5
of 35 outputs
Altmetric has tracked 25,611,630 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,174 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.7. This one has done well, scoring higher than 77% 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 309,807 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 90% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.