Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity

Hu, Yu; Tai, Chun Tien; Liu, Kang Ernest; Cai, Cheng Fang

doi:10.1016/j.joi.2019.101004

Cited by 46 publications

(36 citation statements)

References 43 publications

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“…These keywords are important sources of information that can help researchers to locate or identify related articles and increase the readability of such articles [37]. Similarly, the frequency of the use of keywords helps to determine research trends in a field [21]. In this study, both seafood and antibiotic resistance were the most used authors' keywords apart from V. parahaemolyticus.…”

Section: Network Visualisation: Citation Analysis and Co-occurrence Of Authors Abstractmentioning

confidence: 75%

A Bibliometric Analysis of Global Research Outputs on Seafood and Antibiotics (1999 – 2019)

Odeyemi

Stratev

Oko

et al. 2021

FWIAFE

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This study is aimed at investigating the global trend in research activities involving seafood and antibiotics based on published research output articles. Peer reviewed articles published in the last two decades involving seafood and antibiotics were searched on the Scopus database using the search words “seafood” and “antibiotics’’. The retrieved data were then analyzed based on the total research outputs, countries and affiliation of authors, sources of funding, keywords used by the authors, citations and collaborations using both add-on analytical tool, Microsoft Excel and VOS viewer for data visualization. A total of 447 research outputs by 710 authors affiliated with 1173 institutions from 74 countries using 1051 keywords were obtained. Original research articles accounted for the highest percentage (87.7%) and published across 166 different peer-reviewed journals. Most of the original research articles were published in the International Journal of Food Microbiology 27(16.3%). Khan, A. A. from the Division of Microbiology; National Centre for Toxicological Research, United States, was the most productive author with 10 (2.2%) publications while the National Natural Science Foundation of China was the highest funding institution with 22 (4.9%) and the United States of America was the most productive with 91 (20.4%) research outputs followed by China with 70 (15.7%) research outputs. Over the last two decades (1999 – 2019), there has been an exponential (r2=0.91) increase in seafood and antibiotics related research activities. The majority of these research activities were from America, Asia and Europe. There is need for international scientific collaboration between the leading researchers and researchers from developing countries in seafood research to help mitigate food loss, enhance food security, and increase the productivity of early career researchers.

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Section: Network Visualisation: Citation Analysis and Co-occurrence Of Authors Abstractmentioning

confidence: 75%

A Bibliometric Analysis of Global Research Outputs on Seafood and Antibiotics (1999 – 2019)

Odeyemi

Stratev

Oko

et al. 2021

FWIAFE

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“…As mentioned before, Google Trends provides information regarding the general behavior of Internet users instead of the habits of researchers. [36] propose a measure named topic popularity (TP), which is represented as follows:…”

Section: Alternative Popularity Measuresmentioning

confidence: 99%

“…To perform the comparison, we used the same dataset mentioned in Section 11.1.1, "Data Source", but we extracted the title and abstract from the articles and applied the LDA model, as described by the authors in [36]. First, we defined 100 LDA topics with an asymmetric alpha parameter; after, we selected 400 random words from WordNet and used them as a target keyword, computing the topic popularity and attention score for 2022.…”

Section: Alternative Popularity Measuresmentioning

confidence: 99%

Attention–Survival Score: A Metric to Choose Better Keywords and Improve Visibility of Information

Chamorro-Padial

Rodrı́guez-Sánchez

2023

Algorithms

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In this paper, we propose a method to aid authors in choosing alternative keywords that help their papers gain visibility. These alternative keywords must have a certain level of popularity in the scientific community and, simultaneously, be keywords with fewer competitors. The competitors are derived from other papers containing the same keywords. Having fewer competitors would allow an author’s paper to have a higher consult frequency. In order to recommend keywords, we must first determine an attention–survival score. The attention score is obtained using the popularity of a keyword. The survival score is derived from the number of manuscripts using the same keyword. With these two scores, we created a new algorithm that finds alternative keywords with a high attention–survival score. We used ontologies to ensure that alternative keywords proposed by our method are semantically related to the original authors’ keywords that they wish to refine. The hierarchical structure in an ontology supports the relationship between the alternative and input keywords. To test the sensibility of the ontology, we used two sources: WordNet and the Computer Science Ontology (CSO). Finally, we launched a survey for the human validation of our algorithm using keywords from Web of Science papers and three ontologies: WordNet, CSO, and DBpedia. We obtained good results from all our tests.

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“…The frequency of words or two-or three-word phrases in titles, abstracts, and keywords of articles within Scopus narrow categories has also been used to find terms occurring associating with hot topics showing them to be more cited in most fields (Thelwall & Sud, 2021). Repetition of keywords in abstracts also associates with citation counts for education journals (Sohrabi & Iraj, 2017) and the presence of popular management information system keywords can more effectively predict highly cited papers (n=746) than journal (e.g., Journal Impact Factor and SCImago Journal Rank) or author (author's h-index, publications, or citations) features (Hu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Terms in journal articles associating with high quality: can qualitative research be world-leading?

Thelwall

Kousha²,

Abdoli³

et al. 2023

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PurposeScholars often aim to conduct high quality research and their success is judged primarily by peer reviewers. Research quality is difficult for either group to identify, however and misunderstandings can reduce the efficiency of the scientific enterprise. In response, we use a novel term association strategy to seek quantitative evidence of aspects of research that are associated with high or low quality.Design/methodology/approachWe extracted the words and 2–5-word phrases most strongly associated with different quality scores in each of 34 Units of Assessment (UoAs) in the Research Excellence Framework (REF) 2021. We extracted the terms from 122,331 journal articles 2014–2020 with individual REF2021 quality scores.FindingsThe terms associating with high- or low-quality scores vary between fields but relate to writing styles, methods and topics. We show that the first-person writing style strongly associates with higher quality research in many areas because it is the norm for a set of large prestigious journals. We found methods and topics that associate with both high- and low-quality scores. Worryingly, terms associated with educational and qualitative research attract lower quality scores in multiple areas. REF experts may rarely give high scores to qualitative or educational research because the authors tend to be less competent, because it is harder to do world leading research with these themes, or because they do not value them.Originality/valueThis is the first investigation of journal article terms associating with research quality.

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Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity

Cited by 46 publications

References 43 publications

A Bibliometric Analysis of Global Research Outputs on Seafood and Antibiotics (1999 – 2019)

A Bibliometric Analysis of Global Research Outputs on Seafood and Antibiotics (1999 – 2019)

Attention–Survival Score: A Metric to Choose Better Keywords and Improve Visibility of Information

Terms in journal articles associating with high quality: can qualitative research be world-leading?

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