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. 2019 Jun 9;19(11):2615.
doi: 10.3390/s19112615.

Biosensors-Publication Trends and Knowledge Domain Visualization

Nasrine Olson  1 , Juhee Bae  2
Affiliations

Biosensors-Publication Trends and Knowledge Domain Visualization

Nasrine Olson et al. Sensors (Basel). .

Abstract

The number of scholarly publications on the topic of biosensors has increased rapidly; as a result, it is no longer easy to build an informed overview of the developments solely by manual means. Furthermore, with many new research results being continually published, it is useful to form an up-to-date understanding of the recent trends or emergent directions in the field. This paper utilizes bibliometric methods to provide an overview of the developments in the topic based on scholarly publications. The results indicate an increasing interest in the topic of biosensor(s) with newly emerging sub-topics. The US is identified as the country with highest total contribution to this area, but as a collective, EU countries top the list of total contributions. An examination of trends over the years indicates that in recent years, China-based authors have been more productive in this area. If research contribution per capita is considered, Singapore takes the top position, followed by Sweden, Switzerland and Denmark. While the number of publications on biosensors seems to have declined in recent years in the PubMed database, this is not the case in the Web of Science database. However, there remains an indication that the rate of growth in the more recent years is slowing. This paper also presents a comparison of the developments in publications on biosensors with the full set of publications in two of the main journals in the field. In more recent publications, synthetic biology, smartphone, fluorescent biosensor, and point-of-care testing are among the terms that have received more attention. The study also identifies the top authors and journals in the field, and concludes with a summary and suggestions for follow up research.

Keywords: bibliometrics; biosensors; emerging trends; scholarly publications.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Yearly number of publications on biosensors based on the PubMed dataset.
Figure 2
Figure 2
Yearly publication counts on biosensor(s) based on Web of Science data captured in May 2019. The publication trend based on the original PubMed data from 2018 is also included as a point of reference.
Figure 3
Figure 3
Yearly number of publications on biosensors (85,174 items) as compared with total publications in the journals Biosensors & bioelectronics (11,794 items) and Sensors (18,997 items) based on data retrieved from WoS on 8 May 2019.
Figure 4
Figure 4
A comparison between the publications on biosensors as compared with publications on sensors.
Figure 5
Figure 5
A comparison between the publications on biosensors as compared with publications on sensors (semi logarithmic scale).
Figure 6
Figure 6
Publication types and their trends over the years.
Figure 7
Figure 7
Support types and their trends over the years.
Figure 8
Figure 8
Place of publication (country of the source) by year.
Figure 9
Figure 9
Countries in descending order of publication counts with more than total number of 500 by year (based on countries of the first authors).
Figure 10
Figure 10
Regional publication trends. Counts of countries of the first authors, grouped in representative regions by year.
Figure 11
Figure 11
Publication trends per capita.
Figure 12
Figure 12
Journal Titles (top 20).
Figure 13
Figure 13
Journal Titles (top 20) by year.
Figure 14
Figure 14
Many authors with few contributions—Few contribute to only one or a few publications on the topic.
Figure 15
Figure 15
Smaller number of authors with large number of publications - Few authors contribute with many publications on the topic.
Figure 16
Figure 16
Co-authorship based on authors. The clusters formed by the VOSviewer algorithm are colour-coded according to the colour pallet shown on the right-hand side.
Figure 17
Figure 17
MeSH terms (top 20).
Figure 18
Figure 18
MeSH terms (top 20) by year.
Figure 19
Figure 19
Co-occurrence analysis of All Keywords.
Figure 20
Figure 20
Co-occurrence analysis of MeSH Terms.
Figure 21
Figure 21
Co-occurrence analysis of MeSH Terms with a time overlay.
Figure 22
Figure 22
Co-occurrence analysis of Other Terms (or Author Keywords).
Figure 23
Figure 23
Co-occurrence analysis of Other Terms (or Author Keywords) with time overlay.
See this image and copyright information in PMC

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