Evidence map›Paper›PMID 40256242›Full record

ArticleBioImpacts : BI2025

Bibliometric study of

Leila Mirzapour, Fatemeh Sheikhshoaei

Abstract read
In one paragraph

Article in BioImpacts : BI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Leila MirzapourDepartment of Medical Library and Information Sciences, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-3209-2283
Fatemeh SheikhshoaeiDepartment of Medical Library and Information Sciences, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-8804-5403

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The number of citations received by articles is a key indicator of a journal's quality and effectiveness within its field. This, in turn, influences the ability to secure funding for ongoing publication, establishing a suitable policy for its promotion, and helping researchers selecting an appropriate journal to publish their findings or find information they require. Meanwhile, one way to measure a journal's technological impact is to examine the patent citations attached to its articles. This study aims to evaluate the technological impact of Methods: This descriptive study was conducted using the bibliometric method with a technological impact approach. The published Results: The results revealed that Conclusion: Based on the present research findings, the technological impact of

Indexed as

Bibliometric studyBioImpactsPatent citationTechnology impact

Identifiers

PMID40256242
PMCPMC12008250

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.