50 years of comprehensive state-wide data on pregnancy termination in South Australia: a retrospective, population-based, cohort study

Authors

Jodie M Dodd (ORCID: https://orcid.org/0000-0002-6363-4874)
Katina D’Onise (ORCID: https://orcid.org/0000-0003-3292-4227)
Laura Slade (ORCID: https://orcid.org/0000-0001-8425-9359)
Jennie Louise (ORCID: https://orcid.org/0000-0001-5785-0290)

Institutions

The University of Adelaide (AU)

Publication Details

Journal: The Lancet Public Health
Published: 2024-10-31
DOI: https://doi.org/10.1016/s2468-2667(24)00214-7
Citations: 5
Primary Topic: Reproductive Health and Contraception
Type: article
Field-Weighted Citation Impact: 2.71

Funders

National Health and Medical Research Council

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

50 years of comprehensive state-wide data on pregnancy termination in South Australia: a retrospective, population-based, cohort study

Jodie M Dodd, Katina D’Onise, Laura Slade, Jennie Louise

Oct 31, 2024

5 citations

The Lancet Public Health

Reproductive Health and Contraception

2.71

article

50 years of comprehensive state-wide data on pregnancy termination in South Australia: a retrospective, population-based, cohort study

Jodie M Dodd, Katina D’Onise, Laura Slade, Jennie Louise

October 31, 2024article en

5 citations

Abstract

No abstract available for this paper.

The Lancet Public HealthVol. 9(11)

The University of Adelaide (AU)

National Health and Medical Research Council

Openalex Percentile: Top 9%

Reproductive Health and Contraception

2.71

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.