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Draft genome sequence of the type strain of the sulfur-oxidizing acidophile, Acidithiobacillus albertensis (DSM 14366)

Overview of attention for article published in Standards in Genomic Sciences, December 2017
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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2 tweeters

Citations

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9 Dimensions

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13 Mendeley
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Title
Draft genome sequence of the type strain of the sulfur-oxidizing acidophile, Acidithiobacillus albertensis (DSM 14366)
Published in
Standards in Genomic Sciences, December 2017
DOI 10.1186/s40793-017-0282-y
Pubmed ID
Authors

Matías Castro, Ana Moya-Beltrán, Paulo C. Covarrubias, Mónica Gonzalez, Juan Pablo Cardenas, Francisco Issotta, Harold Nuñez, Lillian G. Acuña, Gonzalo Encina, David S. Holmes, D. Barrie Johnson, Raquel Quatrini

Abstract

Acidithiobacillus albertensis is an extremely acidophilic, mesophilic, obligatory autotrophic sulfur-oxidizer, with potential importance in the bioleaching of sulfidic metal ores, first described in the 1980s. Here we present the draft genome sequence of Acidithiobacillus albertensis DSM 14366T, thereby both filling a long-standing gap in the genomics of the acidithiobacilli, and providing further insight into the understanding of the biology of the non iron-oxidizing members of the Acidithiobacillus genus. The assembled genome is 3,1 Mb, and contains 47 tRNAs, tmRNA gene and 2 rRNA operons, along with 3149 protein-coding predicted genes. The Whole Genome Shotgun project was deposited in DDBJ/EMBL/GenBank under the accession MOAD00000000.

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Student > Bachelor 3 23%
Professor > Associate Professor 1 8%
Student > Master 1 8%
Unknown 3 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Agricultural and Biological Sciences 2 15%
Environmental Science 1 8%
Immunology and Microbiology 1 8%
Unknown 6 46%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 December 2017.
All research outputs
#9,467,971
of 12,359,775 outputs
Outputs from Standards in Genomic Sciences
#298
of 514 outputs
Outputs of similar age
#229,357
of 350,585 outputs
Outputs of similar age from Standards in Genomic Sciences
#14
of 37 outputs
Altmetric has tracked 12,359,775 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 514 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 37th percentile – i.e., 37% 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 350,585 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.