Evidence map›Paper›PMID 29713258›Full record

ReviewJournal of Korean medical science2018

Researcher and Author Impact Metrics: Variety, Value, and Context.

Armen Yuri Gasparyan, Marlen Yessirkepov, Akmaral Duisenova, Vladimir I Trukhachev, Elena I Kostyukova, George D Kitas

Abstract readReview
In one paragraph

Review in Journal of Korean medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Understanding author scientometrics - How tall is tall?Indian journal of ophthalmology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Armen Yuri GasparyanDepartments of Rheumatology and Research and Development, Dudley Group NHS Foundation Trust (Teaching Trust of the University of Birmingham, UK), Russells Hall Hospital, Dudley, West Midlands, UK.ORCID https://orcid.org/0000-0001-8749-6018
Marlen YessirkepovDepartment of Biochemistry, Biology and Microbiology, South Kazakhstan State Pharmaceutical Academy, Shymkent, Kazakhstan.ORCID https://orcid.org/0000-0003-2511-6918
Akmaral DuisenovaDepartment of Biochemistry, Biology and Microbiology, South Kazakhstan State Pharmaceutical Academy, Shymkent, Kazakhstan.ORCID https://orcid.org/0000-0003-1527-9158
Vladimir I TrukhachevStavropol State Agrarian University, Stavropol, Russian Federation.ORCID https://orcid.org/0000-0003-4676-5407
Elena I KostyukovaDepartment of Accounting Management, Stavropol State Agrarian University, Stavropol, Russian Federation.ORCID https://orcid.org/0000-0002-8393-6001
George D KitasDepartments of Rheumatology and Research and Development, Dudley Group NHS Foundation Trust (Teaching Trust of the University of Birmingham, UK), Russells Hall Hospital, Dudley, West Midlands, UK.ORCID https://orcid.org/0000-0002-0828-6176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous quantitative indicators are currently available for evaluating research productivity. No single metric is suitable for comprehensive evaluation of the author-level impact. The choice of particular metrics depends on the purpose and context of the evaluation. The aim of this article is to overview some of the widely employed author impact metrics and highlight perspectives of their optimal use. The

Indexed as

AuthorshipBibliometricsDatabases, BibliographicHumansJournal Impact FactorPublishingResearch PersonnelBibliographic DatabasesBibliometricsCitationsh-indexPublicationsResearch Evaluation

Identifiers

PMID29713258
PMCPMC5920127

What OpenQuestion holds

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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.