Evidence map›Paper›PMID 38660149›Full record

ArticlePeerJ. Computer science2024

Special issue on software citation, indexing, and discoverability.

Daniel S Katz, Neil P Chue Hong

Abstract readEditorial
In one paragraph

Article in PeerJ. Computer science, 2024. 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. To Be FAIR: Theory Specification Needs an Update.Perspectives on psychological science : a journal of the Association for Psychological Science · 2026
    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.

Daniel S KatzNational Center for Supercomputing Applications, Department of Computer Science, Department of Electrical and Computer Engineering, School of Information Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.ORCID 0000-0001-5934-7525
Neil P Chue HongEdinburgh Parallel Computing Centre, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-8876-7606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Software plays a fundamental role in research as a tool, an output, or even as an object of study. This special issue on software citation, indexing, and discoverability brings together five papers examining different aspects of how the use of software is recorded and made available to others. It describes new work on datasets that enable large-scale analysis of the evolution of software usage and citation, that presents evidence of increased citation rates when software artifacts are released, that provides guidance for registries and repositories to support software citation and findability, and that shows there are still barriers to improving and formalising software citation and publication practice. As the use of software increases further, driven by modern research methods, addressing the barriers to software citation and discoverability will encourage greater sharing and reuse of software, in turn enabling research progress.

Indexed as

CitationDiscoverabilityFAIR principlesIndexingResearch softwareSoftware

Identifiers

PMID38660149
PMCPMC11042024

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.