Evidence map›Paper›PMID 34462859›Full record

ArticleEnvironmental science and pollution research international2022

Evaluation of ecological risk, source, and spatial distribution of some heavy metals in marine sediments in the Middle and Eastern Black Sea region, Turkey.

Aylin Apaydın, Hatice Kabaoğlu, Gökhan Apaydın, Murat Şirin, Erhan Cengiz, Oğuz Kağan Köksal, Hasan Baltaş, Engin Tıraşoğlu

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 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
0.7field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  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

8 authors at 6 institutions in 1 country.

Aylin ApaydınMinistry of National Education, Trabzon, Turkey.
Hatice KabaoğluFaculty of Engineering, Department of Computer Engineering, Gazi Universit, Ankara, Turkey.
Gökhan ApaydınFaculty of Science, Department of Physics, Karadeniz Technical University, Trabzon, Turkey. gapaydin@ktu.edu.tr.ORCID https://orcid.org/0000-0002-4647-344X
Murat ŞirinFaculty of Arts and Science, Department of Physics, Recep Tayyip Erdogan University, Rize, Turkey.
Erhan CengizFaculty of Engineering, Department of Fundamental Science, Alanya Alaaddin Keykubat University, Antalya, Turkey.
Oğuz Kağan KöksalGölbaşı Vocational School, Department of Electricity and Energy, Adıyaman University, Adıyaman, Turkey.
Hasan BaltaşFaculty of Arts and Science, Department of Physics, Recep Tayyip Erdogan University, Rize, Turkey.
Engin TıraşoğluFaculty of Science, Department of Physics, Karadeniz Technical University, Trabzon, Turkey.
Karadeniz Technical University · TRRecep Tayyip Erdoğan University · TRAdıyaman University · TRAlanya University · TRGazi University · TRMi̇lli̇ Eği̇ti̇m Bakanliği · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, the concentration levels of heavy metals such as Mn, Fe, Ni, Cu, Zn, Cr, and Pb in sediment samples collected from 16 sampling locations in the Middle and Eastern Black Sea regions, Turkey, were measured using energy dispersive X-ray fluorescence spectroscopy (EDXRF). Various pollution parameters and methods, such as the enrichment factor (EF), geo-accumulation index (I

Indexed as

Metals, HeavyWater Pollutants, ChemicalBlack SeaEnvironmental MonitoringGeologic SedimentsRisk AssessmentTurkeyMetals, HeavyWater Pollutants, ChemicalEcologic riskEDXRFMiddle and Easterm Black SeaPollution indicesSediment

Identifiers

PMID34462859
OpenAlexW3197023955

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.