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A bibliometric analysis of COVID-19 across science and social science research landscape
ID
Aristovnik, Aleksander
(
Avtor
),
ID
Ravšelj, Dejan
(
Avtor
),
ID
Umek, Lan
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(4,78 MB)
MD5: A49649C65E5D0A90E43CEBD2F6BB69FE
URL - Izvorni URL, za dostop obiščite
https://www.mdpi.com/2071-1050/12/21/9132
Galerija slik
Izvleček
The lack of knowledge about the COVID-19 pandemic has encouraged extensive research in the academic sphere, reflected in the exponentially growing scientific literature. While the state of COVID-19 research reveals it is currently in an early stage of developing knowledge, a comprehensive and in-depth overview is still missing. Accordingly, the paper’s main aim is to provide an extensive bibliometric analysis of COVID-19 research across the science and social science research landscape, using innovative bibliometric approaches (e.g., Venn diagram, Biblioshiny descriptive statistics, VOSviewer co-occurrence network analysis, Jaccard distance cluster analysis, text mining based on binary logistic regression). The bibliometric analysis considers the Scopus database, including all relevant information on COVID-19 related publications (n = 16,866) available in the first half of 2020. The empirical results indicate the domination of health sciences in terms of number of relevant publications and total citations, while physical sciences and social sciences and humanities lag behind significantly. Nevertheless, there is an evidence of COVID-19 research collaboration within and between different subject area classifications with a gradual increase in importance of non-health scientific disciplines. The findings emphasize the great need for a comprehensive and in-depth approach that considers various scientific disciplines in COVID-19 research so as to benefit not only the scientific community but evidence-based policymaking as part of efforts to properly respond to the COVID-19 pandemic.
Jezik:
Angleški jezik
Ključne besede:
COVID-19
,
coronavirus
,
pandemic
,
science
,
social science
,
bibliometric analysis
,
Jaccard distance
,
text mining
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
FU - Fakulteta za upravo
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2020
Št. strani:
30 str.
Številčenje:
Vol. 12, iss. 21, art. 9132
PID:
20.500.12556/RUL-134443
UDK:
3:004
ISSN pri članku:
2071-1050
DOI:
10.3390/su12219132
COBISS.SI-ID:
35473155
Datum objave v RUL:
14.01.2022
Število ogledov:
844
Število prenosov:
409
Metapodatki:
Citiraj gradivo
Navadno besedilo
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:
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Objavi na:
Gradivo je del revije
Naslov:
Sustainability
Skrajšan naslov:
Sustainability
Založnik:
MDPI
ISSN:
2071-1050
COBISS.SI-ID:
5324897
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:
03.11.2020
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
COVID-19
,
koronavirus
,
pandemija
,
znanost
,
družbene vede
,
bibliometrična analiza
,
Jaccardova razdalja
,
tekstovno rudarjenje
Projekti
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P5-0093
Naslov:
Razvoj sistema učinkovite in uspešne javne uprave
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