Evidence map›Paper›PMID 21304749›Full record

ArticleStandards in genomic sciences2010

Complete genome sequence of Sulfurimonas autotrophica type strain (OK10).

Johannes Sikorski, Christine Munk, Alla Lapidus, Olivier Duplex Ngatchou Djao, Susan Lucas, Tijana Glavina Del Rio, Matt Nolan, Hope Tice, Cliff Han, Jan-Fang Cheng and 29 more

Open access · goldAbstract read
In one paragraph

Article in Standards in genomic sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 40 citations in OpenAlex.

  1. Characterization ofFrontiers in microbiology · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

39 authors at 6 institutions in 2 countries.

Johannes Sikorski
Christine Munk
Alla Lapidus
Olivier Duplex Ngatchou Djao
Susan Lucas
Tijana Glavina Del Rio
Matt Nolan
Hope Tice
Cliff Han
Jan-Fang Cheng
Roxanne Tapia
Lynne Goodwin
Sam Pitluck
Konstantinos Liolios
Natalia Ivanova
Konstantinos Mavromatis
Natalia Mikhailova
Amrita Pati
David Sims
Linda Meincke
Thomas Brettin
John C Detter
Amy Chen
Krishna Palaniappan
Miriam Land
Loren Hauser
Yun-Juan Chang
Cynthia D Jeffries
Manfred Rohde
Elke Lang
Stefan Spring
Markus Göker
Tanja Woyke
James Bristow
Jonathan A Eisen
Victor Markowitz
Philip Hugenholtz
Nikos C Kyrpides
Hans-Peter Klenk
Joint Genome Institute · USLeibniz Institute DSMZ – German Collection of Microorganisms and Cell Cultures · DELos Alamos National Laboratory · USLawrence Berkeley National Laboratory · USOak Ridge National Laboratory · USHelmholtz Centre for Infection Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sulfurimonas autotrophica Inagaki et al. 2003 is the type species of the genus Sulfurimonas. This genus is of interest because of its significant contribution to the global sulfur cycle as it oxidizes sulfur compounds to sulfate and by its apparent habitation of deep-sea hydrothermal and marine sulfidic environments as potential ecological niche. Here we describe the features of this organism, together with the complete genome sequence and annotation. This is the second complete genome sequence of the genus Sulfurimonas and the 15(th) genome in the family Helicobacteraceae. The 2,153,198 bp long genome with its 2,165 protein-coding and 55 RNA genes is part of the Genomic Encyclopedia of Bacteria and Archaea project.

Indexed as

deep-sea hydrothermal ventsEpsilonproteobacteriafacultatively anaerobicGEBAGram-negativeHelicobacteriaceaemesophilicspermidinesulfur metabolism

Identifiers

PMID21304749
PMCPMC3035374
OpenAlexW1806002856

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.