Evidence map›Paper›PMID 32256237›Full record

ArticleJournal of the Medical Library Association : JMLA2020

Grey literature citations in top nursing journals: a bibliometric study.

Stephen Woods, Kathleen Phillips, Andrew Dudash

Abstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

3 authors.

Stephen WoodsUniversity Libraries, Penn State University, University Park, PA, sjw31@psu.edu.
Kathleen PhillipsNursing and Allied Health Liaison Librarian, Life Sciences Library, University Libraries, Penn State University, University Park, PA, kec5013@psu.edu.
Andrew DudashUniversity Libraries, Penn State University, University Park, PA, amd846@psu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAs access to information grows in tandem with the growth of the Internet, access to grey literature also increases. Because little is known about the use of grey literature in nursing journals, the authors investigated the prevalence and types of grey literature citations in top nursing journals.

methodsWe analyzed all citations (n=52,116) from articles published in 2011 in 6 top nursing journals selected from the Medical Library Association's Nursing and Allied Health Resource Section's 2012 "Selected List of Nursing Journals." Grey literature citations were identified and categorized by type.

resultsGrey literature accounted for 10.4% of citations across all 6 journals. Publications from governments (54.3%) and corporate organizations (26.8%) were the most common types of grey literature.

conclusionThe substantial citation of grey literature in nursing journals shows that nursing scholars seek and use this category of information. These findings have implications for teaching and learning among nursing researchers and the information professionals who serve the nursing research community.

Indexed as

BibliometricsGray LiteratureNursingPeriodicals as Topic

Identifiers

PMID32256237
PMCPMC7069822

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.