Evidence map›Paper›PMID 28804177›Full record

ArticleScientometrics

Tracking the emergence of synthetic biology.

Philip Shapira, Seokbeom Kwon, Jan Youtie

Abstract read
In one paragraph

Article in Scientometrics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
  2. Review
  3. Prediction of transformative breakthroughs in biomedical research.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Bioterrorism: An analysis of biological agents used in terrorist events.The American journal of emergency medicine · 2022
    Article
  14. Review
  15. Synthetic biology landscape in the UK.Biotechnology notes (Amsterdam, Netherlands) · 2022
    Article
  16. Review
  17. Article
  18. Synthetic biology landscape and community in Germany.Biotechnology notes (Amsterdam, Netherlands) · 2022
    Article
  19. Article
  20. Article
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

3 authors.

Philip ShapiraManchester Institute of Innovation Research, Alliance Manchester Business School, University of Manchester, Manchester, M13 9PL UK.ORCID 0000-0003-2488-5985
Seokbeom KwonSchool of Public Policy, Georgia Institute of Technology, Atlanta, GA 30332-0345 USA.
Jan YoutieEnterprise Innovation Institute, Georgia Institute of Technology, Atlanta, GA 30308 USA.

Funding

Biotechnology and Biological Sciences Research Council BB/M017702/1
6 · The paper itself

Abstract

Synthetic biology is an emerging domain that combines biological and engineering concepts and which has seen rapid growth in research, innovation, and policy interest in recent years. This paper contributes to efforts to delineate this emerging domain by presenting a newly constructed bibliometric definition of synthetic biology. Our approach is dimensioned from a core set of papers in synthetic biology, using procedures to obtain benchmark synthetic biology publication records, extract keywords from these benchmark records, and refine the keywords, supplemented with articles published in dedicated synthetic biology journals. We compare our search strategy with other recent bibliometric approaches to define synthetic biology, using a common source of publication data for the period from 2000 to 2015. The paper details the rapid growth and international spread of research in synthetic biology in recent years, demonstrates that diverse research disciplines are contributing to the multidisciplinary development of synthetic biology research, and visualizes this by profiling synthetic biology research on the map of science. We further show the roles of a relatively concentrated set of research sponsors in funding the growth and trajectories of synthetic biology. In addition to discussing these analyses, the paper notes limitations and suggests lines for further work.

Indexed as

Bibliometric analysisEmerging technologyMap of scienceResearch sponsorsSearch strategySynthetic biology

Identifiers

PMID28804177
PMCPMC5533824

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.