Evidence map›Paper›PMID 31947672›Full record

ArticleSensors (Basel, Switzerland)2020

Predictions of Cu, Zn, and Cd Concentrations in Soil Using Portable X-Ray Fluorescence Measurements.

Karl Adler, Kristin Piikki, Mats Söderström, Jan Eriksson, Omran Alshihabi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

Karl AdlerDepartment of Soil and Environment, Swedish University of Agricultural Sciences, SE-75007 Uppsala/SE-53223 Skara, Sweden.
Kristin PiikkiDepartment of Soil and Environment, Swedish University of Agricultural Sciences, SE-75007 Uppsala/SE-53223 Skara, Sweden.
Mats SöderströmDepartment of Soil and Environment, Swedish University of Agricultural Sciences, SE-75007 Uppsala/SE-53223 Skara, Sweden.
Jan ErikssonDepartment of Soil and Environment, Swedish University of Agricultural Sciences, SE-75007 Uppsala/SE-53223 Skara, Sweden.
Omran AlshihabiDepartment of Soil and Environment, Swedish University of Agricultural Sciences, SE-75007 Uppsala/SE-53223 Skara, Sweden.

Funding

Sveriges Lantbruksuniversitet RUN 2018-00141
6 · The paper itself

Abstract

Portable X-ray fluorescence (PXRF) measurements on 1520 soil samples were used to create national prediction models for copper (Cu), zinc (Zn), and cadmium (Cd) concentrations in agricultural soil. The models were validated at both national and farm scales. Multiple linear regression (MLR), random forest (RF), and multivariate adaptive regression spline (MARS) models were created and compared. National scale cross-validation of the models gave the following R

Indexed as

cadmiumcoppermachine learningprecision agriculturePXRFsoilzinc

Identifiers

PMID31947672
PMCPMC7014454

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.