Evidence map›Paper›PMID 29610756›Full record

ArticleAnnals of translational medicine2018

How do I peer-review a scientific article?-a personal perspective.

Giuseppe Lippi

Abstract read
In one paragraph

Article in Annals of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Fostering the Next Generation of Researchers: a Sustainable Mentoring Program for Early Career Toxicologists in Scientific Abstract Review.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2023
    Article
  3. How to Be a Great Peer Reviewer.ACG case reports journal · 2022
    Article
  4. Review
  5. Article
  6. Does Peer Reviewing for COVID-19-Related Papers Still Work?Frontiers in research metrics and analytics · 2020
    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

1 author.

Giuseppe LippiSection of Clinical Biochemistry, University of Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peer-review is an essential activity for the vast majority of credited scientific journals and represents the cornerstone for assessing the quality of potential publications, since it is substantially aimed to identify drawbacks or inaccuracies that may flaw the outcome or the presentation of scientific research. Since the importance of this activity is seldom underestimated by some referees, the purpose of this article is to present a personal and arbitrary perspective on how a scientific article should be peer-reviewed, offering a tentative checklist aimed to describe the most important criteria that should be considered. These basically include accepting the assignment only when the topic is in accordance with referee's background, disclosing potential conflicts of interest, checking availability and time according to size and complexity of the article, identifying the innovative value of the manuscript, providing exhaustive and clear comments, expressing disagreement with a fair and balanced approach, weighting revisions according to the importance of the journal, summarizing recommendations according to previous comments, maintaining confidentiality throughout and after the peer-review process. I really hope that some notions reported in this dissertation may be a guide or a help, especially for young scientists, who are willing to be engaged in peer-review activity for scientific journals.

Indexed as

articlepeer-reviewpublicationpublishingScientific writing

Identifiers

PMID29610756
PMCPMC5879526

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.