Evidence map›Paper›PMID 34100190›Full record

ArticleEcotoxicology (London, England)2021

Diversification of Dawkinsia filamentosa (Valenciennes, 1844) and their growth conditions by the impact of toxic metals in the river Tamiraparani.

Sabaridasan Arumugam, Mohamed Shahila Abul Asan Sathali, Soranam Ramaiah, Gandhimaniyan Krishnan

Abstract read
PubMed Publisher
In one paragraph

Article in Ecotoxicology (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Sabaridasan ArumugamPG & Research Department of Biotechnology, Sri Vinayaga College of Arts & Science, Ulundurpet, Tamilnadu, India. sabari.biotech@gmail.com.
Mohamed Shahila Abul Asan SathaliDepartment of Environmental Sciences, Sri Paramakalyani Centre of Excellence in Environmental Sciences, Manonmaniam Sundaranar University, Alwarkurichi, Tamil Nadu, India.
Soranam RamaiahDepartment of Environmental Sciences, Sri Paramakalyani Centre of Excellence in Environmental Sciences, Manonmaniam Sundaranar University, Alwarkurichi, Tamil Nadu, India.
Gandhimaniyan KrishnanPG & Research Department of Biotechnology, Sri Vinayaga College of Arts & Science, Ulundurpet, Tamilnadu, India.
Manonmaniam Sundaranar University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concentration of toxic metals in water, sediment, and organs of species Dawkinsia filamentosa and its growth conditions were analyzed from the Tamiraparani river of Tamilnadu, India. The water quality preferred to examine the existence of metals, and the concentration of Pb, Cr and Cd expand the first time were found to be high in sediment, which was followed by water and the organs of the fish gill and liver. Even though, intakes of the toxic metals were highly accumulated in the gill instead of the liver. From that, the histological assessments of organ damages were observed significant variations in the study sites. Within the linear regression parameters for length-weight relationships of coefficient value r

Indexed as

Metals, HeavyWater Pollutants, ChemicalAnimalsEcosystemEnvironmental MonitoringGeologic SedimentsIndiaPhylogenyRisk AssessmentRiversMetals, HeavyWater Pollutants, ChemicalDawkinsia filamentosaHistological assessmentLength-weightPhylogenetic analysisRisk assessmentToxic metals

Identifiers

PMID34100190
OpenAlexW3170920886

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.