Evidence map›Paper›PMID 34014832›Full record

ArticleJournal of medical Internet research2021

Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis.

Quan Wang, Ke-Lu Yang, Zhen Zhang, Zhu Wang, Chen Li, Lun Li, Jin-Hui Tian, Ying-Jiang Ye, Shan Wang, Ke-Wei Jiang

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Bibliometric analysis of research hotspots and trends of lncRNA in angiogenesis-related diseases.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
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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

10 authors.

Quan Wang *Department of Gastroenterological Surgery, Peking University People's Hospital, Beijing, China.ORCID 0000-0002-2821-5017
Ke-Lu Yang *Evidence-Based Nursing Center, School of Nursing, Lanzhou University, Lanzhou, China.ORCID 0000-0003-0240-9750
Zhen ZhangDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, China.ORCID 0000-0003-4657-0589
Zhu WangDepartment of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.ORCID 0000-0003-0889-1939
Chen LiDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, China.ORCID 0000-0003-3556-2719
Lun LiDepartment of Breast Surgery, Shanghai Cancer Center, Fudan University, Shanghai, China.ORCID 0000-0002-5651-1067
Jin-Hui TianEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.ORCID 0000-0002-3859-9587
Ying-Jiang YeDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, China.ORCID 0000-0002-7904-3163
Shan WangDepartment of Gastroenterological Surgery, Peking University People's Hospital, Beijing, China.ORCID 0000-0003-3396-5936
Ke-Wei Jiang *Department of Gastroenterological Surgery, Peking University People's Hospital, Beijing, China.ORCID 0000-0002-6706-4741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs single-cell sequencing technology has been gradually introduced, it is essential to characterize global collaboration networks and map development trends over the past 20 years.

objectiveThe aim of this paper was to illustrate collaboration in the field of single-cell sequencing methods and explore key topics and future directions.

methodsBibliometric analyses were conducted with CiteSpace and VOSviewer software on publications prior to November 2019 from the Web of Science Core Collection about single-cell sequencing methods.

resultsUltimately, we identified 2489 records, which were published in 495 journals by 14,202 authors from 1970 institutes in 61 countries. There was a noticeable increase in publications in 2014. The United States and high-income countries in Europe contributed to most of the records included. Harvard University, Stanford University, Karolinska Institutes, Peking University, and the University of Washington were the biggest nodes in every cluster of the collaboration network, and SA Teichmann, JC Marioni, A Regev, and FC Tang were the top-producing authors. Keywords co-occurrence analysis suggested applications in immunology as a developing research trend.

conclusionsWe concluded that the global collaboration network was unformed and that high-income countries contributed more to the rapidly growth of publications of single-cell sequencing technology. Furthermore, the application in immunology might be the next research hotspot and developmental direction.

Indexed as

BibliometricsPublicationsEuropeHumansTechnologyUnited Statesbibliometric analysisbioinformaticscancercancer genomicscancer subtypingCiteSpacedevelopment trendshotspotsimmunologynetworkprecision medicineresearch topicssingle-cell sequencingtumor dissociationtumor microenvironmentVOSviewerWeb of Science

Identifiers

PMID34014832
PMCPMC8386406

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.