Evidence map›Paper›PMID 28110455›Full record

ArticleEnvironmental science and pollution research international2017

Influence of environmental and anthropogenic factors at the bottom sediments in a Doce River tributary in Brazil.

Deyse Almeida Dos Reis, Aníbal da Fonseca Santiago, Laura Pereira Nascimento, Hubert Mathias Peter Roeser

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

4 authors.

Deyse Almeida Dos ReisUniversidade Federal de Ouro Preto (UFOP), Morro do Cruzeiro, S/N, Ouro Preto, MG, 35400-000, Brazil. deysereis.reis@gmail.com.
Aníbal da Fonseca SantiagoUniversidade Federal de Ouro Preto (UFOP), Morro do Cruzeiro, S/N, Ouro Preto, MG, 35400-000, Brazil.
Laura Pereira NascimentoUniversidade Federal de Ouro Preto (UFOP), Morro do Cruzeiro, S/N, Ouro Preto, MG, 35400-000, Brazil.
Hubert Mathias Peter RoeserUniversidade Federal de Ouro Preto (UFOP), Morro do Cruzeiro, S/N, Ouro Preto, MG, 35400-000, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In developing countries, it is uncommon to find watersheds that have been the object of detailed environmental studies. It makes the assessment of the magnitude of environmental impacts and pollution of these sites difficult. This research demonstrated ways to understand the dynamics of river bottom sediments contamination, even for watersheds with a lack of environmental data. Based on geochemical affinity, we conducted a comprehensive study on the concentration of metals and metalloids. Then, we discussed the probable origin of the concentration of these elements at the bottom sediment along the Matipó River. The Matipó River is an important tributary of the Doce River, which stood out in international headlines because of the mining tailing dam disaster in Mariana, Minas Gerais, in 2015. The bottom sediment samples were taken in 25 stations located along the basin in different seasonal periods. The results showed that copper ([Formula: see text] = 464.7 mg kg

Indexed as

Environmental MonitoringAgricultureBrazilGeologic SedimentsMetalloidsMetals, HeavyRiversWater Pollutants, ChemicalMetalloidsMetals, HeavyWater Pollutants, ChemicalBottom sediments pollutionDoce RiverGeochemical affinityMatipó RiverMetals

Identifiers

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.