Evidence map›Paper›PMID 34100638›Full record

ArticlemSystems2021

Integrated Multi-omics Investigations Reveal the Key Role of Synergistic Microbial Networks in Removing Plasticizer Di-(2-Ethylhexyl) Phthalate from Estuarine Sediments.

Sean Ting-Shyang Wei, Yi-Lung Chen, Yu-Wei Wu, Tien-Yu Wu, Yi-Li Lai, Po-Hsiang Wang, Wael Ismail, Tzong-Huei Lee, Yin-Ru Chiang

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 37 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

9 authors at 6 institutions in 3 countries.

Sean Ting-Shyang WeiBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Yi-Lung ChenDepartment of Microbiology, Soochow University, Taipei, Taiwan.
Yu-Wei WuGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Tien-Yu WuBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Yi-Li LaiBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Po-Hsiang WangInstitute of Environmental Engineering, National Central University, Taoyuan, Taiwan.
Wael IsmailEnvironmental Biotechnology Program, Life Sciences Department, College of Graduate Studies, Arabian Gulf University, Manama, Bahrain.
Tzong-Huei LeeInstitute of Fisheries Science, National Taiwan University, Taipei, Taiwan.
Yin-Ru ChiangBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Biodiversity Research Center, Academia Sinica · TWArabian Gulf University · BHNational Taiwan University · TWSoochow University · TWTaipei Medical University · TWTokyo Institute of Technology · JP

Funding

Academia Sinica AS-CDA-110-L13Ministry of Science and Technology, Taiwan (MOST) MOST 109-2221-E-001-002Ministry of Science and Technology, Taiwan (MOST) MOST 110-2222-E-008-002
6 · The paper itself

Abstract

Di-(2-ethylhexyl) phthalate (DEHP) is the most widely used plasticizer worldwide, with an annual global production of more than 8 million tons. Because of its improper disposal, endocrine-disrupting DEHP often accumulates in estuarine sediments in industrialized countries at submillimolar levels, resulting in adverse effects on both ecosystems and human beings. The microbial degraders and biodegradation pathways of DEHP in O

Indexed as

Acidovoraxanaerobic catabolic pathwaysdenitrifying bacteriadi-(2-ethylhexyl) phthalateendocrine disruptormetagenomicsphthalate esters

Identifiers

PMID34100638
PMCPMC8269228
OpenAlexW3169057425

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.