Big Data Analysis on Puerto Rico Testsite for Exploring Contamination Threats.

Xiangyu Li, Leiming Yu, David Kaeli, Yuanyuan Yao, Poguang Wang, Roger Giese, Akram Alshawabkeh

Abstract read

In one paragraph

Article in Alldata ...., 2015. 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

–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

0 citing papers in PubMed.

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

7 authors.

Xiangyu LiDepartment of Electrical and Computer Engineering, Northeastern University Boston, MA, USA, xili@ece.neu.edu.

Leiming YuDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA, ylm@ece.neu.edu.

David KaeliDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA, kaeli@ece.neu.edu.

Yuanyuan YaoDepartment of Pharmaceutical Sciences and Barnett Institute, Bouve College, Northeastern University, Boston, MA, USA, yao.yu@husky.neu.edu.

Poguang WangDepartment of Pharmaceutical Sciences and Barnett Institute, Bouve College, Northeastern University, Boston, MA, USA, p.wang@neu.edu.

Roger GieseDepartment of Pharmaceutical Sciences and Barnett Institute, Bouve College, Northeastern University, Boston, MA, USA, r.giese@neu.edu.

Akram AlshawabkehDepartment of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA, aalsha@neu.edu.

Funding

Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI PIEPER, KELSEY JANETTE · 2010 to 2024

$38.6M

NIEHS NIH HHS P42 ES017198

6 · The paper itself

Abstract

In this paper, we present the use of Principal Component Analysis and customized software, to accelerate the spectral analysis of biological samples. The work is part of the mission of the National Institute of Environmental Health Sciences sponsored Puerto Rico Testsite for Exploring Contamination Threats Center, establishing linkages between environmental pollutants and preterm birth. This paper provides an overview of the data repository developed for the Center, and presents a use case analysis of biological sample data maintained in the database system.

Indexed as

environmental healthnon-targeted analysisprincipal component analysis

Identifiers

PMID31592519

PMCPMC6779058

What OpenQuestion holds

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Registered trials

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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.