Evidence map›Paper›PMID 28484345›Full record

ArticleMateria socio-medica2017

Ten Steps to Improve Quality of the Journal Materia Socio-Medica.

Doncho M Donev, Izet Masic

Abstract readEditorial
In one paragraph

Article in Materia socio-medica, 2017. 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
–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

2 citing papers in PubMed.

  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

2 authors.

Doncho M DonevInstitute of Social Medicine, Faculty of Medicine, University "Ss Cyril and Methodius" Skopje, Republic of Macedonia.
Izet MasicFaculty of Medicine, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

aimMateria Socio-Medica is one of the oldest public health journals in Europe, established in 1978, and among the most important journals for public health in South-Eastern Europe. The Journal covers all important public health professional, academic and research areas in this field. The aim of the paper is to analyze the journal articles and statistical facts in 2016 and to point out the directions for action and planned further activities for improving the quality of the published papers and visibility of the journal.

methodsReview and analysis of documentation and production of the journal, evidence of submitted and rejected manuscripts and published papers in 2016.

resultsTotal number of 111 articles was published in Materia Socio-Medica during 2016. The most of them were original articles (64,5%). Articles from the fields of Health promotion and prevention were predominant (82,7%), which is one of the primary scope of the journal. Authors of the published articles in 2016 are dispersed to three continents (Europe, Asia and North America) and 15 different countries. The largest number of articles was submitted by authors from the country of origin of the journal, Bosnia and Herzegovina. The acceptance rate of Materia Socioi-Medica in 2016 was 35.7%. Total number of 116 reviewers participated in the manuscript review process in 2016.

conclusionMateria Socio-Medica will continue to improve the quality of the published papers in 2017 and beyond through education of potential authors, reviewers and Editorial Board members, quality selection of reviewers, supportive editing of articles, and clearly defining instructions and ethical standards of the journal.

Indexed as

activities in 2016Materia Socio-Medicaopen accessPMCpublishing ethics and integrity

Identifiers

PMID28484345
PMCPMC5402373

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.