Evidence map›Paper›PMID 30457131›Full record

ReviewMedical science monitor : international medical journal of experimental and clinical research2018

Scientometric Analysis of SIRT6 Studies.

Kaining Lu, Shan Yu, Dan Sun, Haotian Xing, Jun An, Chuize Kong, Meng Yu, Yuyan Zhu

Open access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Bibliometric Analysis of Pediatric Liver Transplantation Research in PubMed from 2014 to 2018.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Top-100 Most Cited Publications Concerning Network Pharmacology: A Bibliometric Analysis.Evidence-based complementary and alternative medicine : eCAM · 2019
    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

8 authors at 2 institutions in 1 country.

Kaining LuDepartment of Urology, The First Hospital of China Medical University, Shenyang, Liaoning, China (mainland).
Shan YuDepartment of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, College of Basic Medical Science, China Medical University, Shenyang, Liaoning, China (mainland).
Dan SunDepartment of Urology, The First Hospital of China Medical University, Shenyang, Liaoning, China (mainland).
Haotian XingDepartment of Urology, The First Hospital of China Medical University, Shenyang, Liaoning, China (mainland).
Jun AnDepartment of Urology, The First Hospital of China Medical University, Shenyang, Liaoning, China (mainland).
Chuize KongDepartment of Urology, The First Hospital of China Medical University, Shenyang, Liaoning, China (mainland).
Meng YuDepartment of Laboratory Animal Science, China Medical University, Shenyang, Liaoning, China (mainland).
Yuyan ZhuDepartment of Urology, The First Hospital of China Medical University, Shenyang, Liaoning, China (mainland).
China Medical University · CNFirst Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND SIRT6 is a molecule of significant interest in the field of epigenetics. This review of the literature aimed to explore research hotspots and other bibliometric features of SIRT6 by applying several bibliometric analysis tools and by establishing a comprehensive scientometric analysis model of SIRT6. MATERIAL AND METHODS The research sample included 441 articles related to SIRT6 obtained from the Web of Science core collection. Bicomb software was used to extract high frequency keywords, and then a binary matrix and a co-word matrix were constructed. We used Gcluto for double clustering, EXCEL for strategic coordinate building, Citespace software for co-citation analysis, CitNetExplorer for citation analysis, and Vosviewer for journal and term analysis. RESULTS Research hotspots and the base knowledge of SIRT6 were determined by co-word and co-citation network analysis. The strategic coordinates approach was used to assess the research prospects of each hotspot and the connections between these hotspots. The distribution of disciplines and journals was determined and both a term density map and a dual-map were constructed by application of different tools. CONCLUSIONS SIRT6's regulation of chromatin, lifespan, DNA damage, and metabolism make up the most important SIRT6 intellectual basis from the past 10 years. SIRT6 study has concentrated on the effects of this molecule on tumors and shown promising trends in understanding neural diseases. However, there has been little analysis of how SIRT6 effects are part of more complex systems. Work by Motoslavsky (2006) represents a milestone in SIRT6 research, and the studies by Kawahara 2009 and Kim 2010 are key in the knowledge transmission of SIRT6 research.

Indexed as

BibliometricsSirtuinsCluster AnalysisHumansSoftwareSIRT6 protein, humanSirtuins

Identifiers

PMID30457131
PMCPMC6256847
OpenAlexW2900833554

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.