Evidence map›Paper›PMID 35621419›Full record

ReviewBehavioral sciences (Basel, Switzerland)2022

A Bibliometric Analysis of Knowledge-Hiding Research.

Qing Xia, Shumin Yan, Heng Li, Kaifeng Duan, Yuliang Zhang

Abstract readReview
In one paragraph

Review in Behavioral sciences (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Bibliometric Analysis and Review of Nudge Research Using VOSviewer.Behavioral sciences (Basel, Switzerland) · 2022
    Review
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

5 authors.

Qing XiaSchool of Economics and Management, Tongji University, Shanghai 200092, China.
Shumin YanSchool of Economics and Management, Tongji University, Shanghai 200092, China.
Heng LiDepartment of Building and Real Estate, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, China.ORCID 0000-0002-3187-9041
Kaifeng DuanSchool of Economics and Management, Fuzhou University, Fuzhou 350108, China.ORCID 0000-0002-0410-219X
Yuliang ZhangSchool of Economics and Management, Tongji University, Shanghai 200092, China.

Funding

China's National Natural Science Foundation 71872130
6 · The paper itself

Abstract

Knowledge hiding, defined as an intentional attempt to conceal requested knowledge, has become a hot topic in management and psychology in the last decade. Emerging research has suggested that knowledge hiding is not simply the opposite of knowledge sharing, such that it is crucial to clarify the concept, explore the research progress and development trend of knowledge hiding. Based on 243 relevant articles, a bibliometric analysis of knowledge-hiding research is presented via descriptive, keyword and citation analysis. Results reveal that knowledge-hiding research, mainly focusing on the disciplines of management, business and psychology, is currently in a period of rapid growth, especially in the past two or three years. The systematic review of knowledge-hiding research enables us intuitively to obtain a panoramic view, including publication performance, thematic evolution and most influential topics of the field via a set of science maps, enabling future authors to investigate knowledge hiding and focus their research more effectively.

Indexed as

bibliometric researchknowledge hidingpublication performancethematic evolution

Identifiers

PMID35621419
PMCPMC9137709

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.