Evidence map›Paper›PMID 30405582›Full record

ArticleFrontiers in microbiology2018

Responses of Nitrogen-Cycling Microorganisms to Dazomet Fumigation.

Wensheng Fang, Dongdong Yan, Xianli Wang, Bin Huang, Xiaoning Wang, Jie Liu, Xiaoman Liu, Yuan Li, Canbin Ouyang, Qiuxia Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. 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
9.1field-weighted citation impact, top 3% 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, 65 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

11 authors at 2 institutions in 1 country.

Wensheng FangInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Dongdong YanInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Xianli WangInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Bin HuangInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiaoning WangInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Jie LiuInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiaoman LiuInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Yuan LiInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Canbin OuyangInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Qiuxia WangInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Aocheng CaoInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Institute of Plant Protection · CNChinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influence of soil fumigation on microorganisms involved in transforming nitrogen remains little understood, despite the use of fumigants for many decades to control soil-borne pathogens and plant-parasitic nematodes. We used real-time PCR (quantitative polymerase chain reaction) and 16S rRNA gene amplicon sequencing techniques to monitor changes in the diversity and community structure of microorganisms associated with nitrogen transfer after the soil was fumigated with dazomet (DZ). We also examined nitrous oxide (N

Indexed as

bacterial community compositiondazometfunctional gene abundanceN2Onitrogen transfersoil fumigation

Identifiers

PMID30405582
PMCPMC6206233
OpenAlexW2896278820

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.