Evidence map›Paper›PMID 29079621›Full record

ArticleApplied and environmental microbiology2018

Genomes of Novel Microbial Lineages Assembled from the Sub-Ice Waters of Lake Baikal.

Pedro J Cabello-Yeves, Tamara I Zemskaya, Riccardo Rosselli, Felipe H Coutinho, Alexandra S Zakharenko, Vadim V Blinov, Francisco Rodriguez-Valera

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
11.3field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 126 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Pedro J Cabello-YevesEvolutionary Genomics Group, Departamento de Producción Vegetal y Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Alicante, Spain.
Tamara I ZemskayaLimnological Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia.
Riccardo RosselliEvolutionary Genomics Group, Departamento de Producción Vegetal y Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Alicante, Spain.
Felipe H CoutinhoEvolutionary Genomics Group, Departamento de Producción Vegetal y Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Alicante, Spain.
Alexandra S ZakharenkoLimnological Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia.
Vadim V BlinovLimnological Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia.
Francisco Rodriguez-ValeraEvolutionary Genomics Group, Departamento de Producción Vegetal y Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Alicante, Spain frvalera@umh.es.
Universitat de Miguel Hernández d'Elx · ESLimnological Institute · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a metagenomic study of Lake Baikal (East Siberia). Two samples obtained from the water column under the ice cover (5 and 20 m deep) in March 2016 have been deep sequenced and the reads assembled to generate metagenome-assembled genomes (MAGs) that are representative of the microbes living in this special environment. Compared with freshwater bodies studied around the world, Lake Baikal had an unusually high fraction of

Indexed as

Genome, BacterialGenome, ViralMetagenomeBacteriaBacteriophagesHigh-Throughput Nucleotide SequencingIce CoverLakesMetagenomicsSiberiaBaltic SeaLake Baikalmetagenome-assembled genomes (MAGs)metagenomicsPelagibacterpolynucleophage

Identifiers

PMID29079621
PMCPMC5734018
OpenAlexW2765394484

What OpenQuestion holds

Textmetadata
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.