Evidence map›Paper›PMID 35336844›Full record

ReviewBiology2022

Significance of

Aminu Darma, Jianjun Yang, Peiman Zandi, Jin Liu, Katarzyna Możdżeń, Xing Xia, Ali Sani, Yihao Wang, Ewald Schnug

Abstract readReview
In one paragraph

Review in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Aminu DarmaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Jianjun YangInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0003-3562-4019
Peiman ZandiInternational Faculty of Applied Technology, Yibin University, Yibin 644600, China.
Jin LiuCollege of Agronomy and Biotechnology, China Agricultural University, Beijing 100094, China.
Katarzyna MożdżeńInstitute of Biology, Pedagogical University of Krakow, Podchorążych 2 St., 30-084 Krakow, Poland.ORCID 0000-0002-5695-4474
Xing XiaInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Ali SaniDepartment of Biological Sciences, Faculty of Life Science, Bayero University, Kano 700006, Nigeria.ORCID 0000-0001-8322-3901
Yihao WangInstitute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Ewald SchnugDepartment of Life Sciences, Institute for Plant Biology, Technical University of Braunschweig, 38106 Braunschweig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The distribution of arsenic continues due to natural and anthropogenic activities, with varying degrees of impact on plants, animals, and the entire ecosystem. Interactions between iron (Fe) oxides, bacteria, and arsenic are significantly linked to changes in the mobility, toxicity, and availability of arsenic species in aquatic and terrestrial habitats. As a result of these changes, toxic As species become available, posing a range of threats to the entire ecosystem. This review elaborates on arsenic toxicity, the mechanisms of its bioavailability, and selected remediation strategies. The article further describes how the detoxification and methylation mechanisms used by

Indexed as

arsenicdetoxificationdissimilatory arsenic-reducing bacteria (DARB)remediationShewanella speciestransformation

Identifiers

PMID35336844
PMCPMC8944983

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.