Evidence map›Paper›PMID 34149117›Full record

ArticleScientometrics2021

Mapping the intellectual structure of the coronavirus field (2000-2020): a co-word analysis.

Aliakbar Pourhatami, Mohammad Kaviyani-Charati, Bahareh Kargar, Hamed Baziyad, Maryam Kargar, Carlos Olmeda-Gómez

Open access · bronzeAbstract read
In one paragraph

Article in Scientometrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 45 citations in OpenAlex.

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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

6 authors at 5 institutions in 2 countries.

Aliakbar PourhatamiDepartment of Information Technology, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.
Mohammad Kaviyani-CharatiDepartment of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran.
Bahareh KargarSchool of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.
Hamed BaziyadDepartment of Information Technology, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.
Maryam KargarSchool of Veterinary Medicine, Shiraz University, Shiraz, Iran.
Carlos Olmeda-GómezDepartment Library & Information Science, Carlos III University, Madrid, Spain.ORCID 0000-0001-5955-6423
Tarbiat Modares University · IRAmirkabir University of Technology · IRIran University of Science and Technology · IRShiraz University · IRUniversidad Carlos III de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the two last decades, coronaviruses have affected human life in different ways, especially in terms of health and economy. Due to the profound effects of novel coronaviruses, growing tides of research are emerging in various research fields. This paper employs a co-word analysis approach to map the intellectual structure of the coronavirus literature for a better understanding of how coronavirus research and the disease itself have developed during the target timeframe. A strategic diagram has been drawn to depict the coronavirus domain's structure and development. A detailed picture of coronavirus literature has been extracted from a huge number of papers to provide a quick overview of the coronavirus literature. The main themes of past coronavirus-related publications are (a) "Antibody-Virus Interactions," (b) "Emerging Infectious Diseases," (c) "Protein Structure-based Drug Design and Antiviral Drug Discovery," (d) "Coronavirus Detection Methods," (e) "Viral Pathogenesis and Immunity," and (f) "Animal Coronaviruses." The emerging infectious diseases are mostly related to fatal diseases (such as Middle East respiratory syndrome, severe acute respiratory syndrome, and COVID-19) and animal coronaviruses (including porcine, turkey, feline, canine, equine, and bovine coronaviruses and infectious bronchitis virus), which are capable of placing animal-dependent industries such as the swine and poultry industries under strong economic pressure. Although considerable research into coronavirus has been done, this unique field has not yet matured sufficiently. Therefore, "Antibody-virus Interactions," "Emerging Infectious Diseases," and "Coronavirus Detection Methods" hold interesting, promising research gaps to be both explored and filled in the future.

Indexed as

CoronavirusCOVID-19Co-word analysisEmerging infectious diseasesScience mappingText mining

Identifiers

PMID34149117
PMCPMC8204734
OpenAlexW3166574792

What OpenQuestion holds

Textmetadata
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.