A citation-based, author- and age-normalized, logarithmic index for evaluation of individual researchers independently of publication counts

Belikov, Aleksey V; Беликов, В. В.

doi:10.12688/f1000research.7070.1

Cited by 44 publications

(68 citation statements)

References 16 publications

(17 reference statements)

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“…Other measures such as impact, readership and translation were not recorded in the present study and may be important factors in the contemporary political climate. Even within the field of bibliometrics, some authors suggest alternative measures such as the L‐index that help to control some of the limitations of the H‐index. In the present study, these metrics would have been cumbersome to calculate as the Scopus database does not yet automatically calculate this metric.…”

Section: Discussionmentioning

confidence: 99%

Benchmarking the research track record and level of appointment of Australian dietetic academics

Broome

Swanepoel

2019

Nutrition & Dietetics

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Aims: Research involvement is fundamental to the practice of dietetics. The present study aims to benchmark the research track record of Australian dietetic academics, and to provide insight into how research productivity informs the level of appointment of academics across the career pathway. Methods: Australian dietetic faculty websites and corresponding Scopus database profiles were used to support a bibliographic analysis of Australian dietetic academics' research track record. Current research productivity in relation to academic attributes, level of appointment, and institutional characteristics were explored. Results: In Australia, dietetic academic level of appointment is logarithmically related to number of publications and relatively consistent across regions and university networks.Conclusions: Benchmarking provides universities with guidance regarding the performance to expect from academics at each academic level as well as feedback regarding recruitment and promotion practices. The present study provides an important benchmark for Australian dietetic academics and offers implications for individual academics and university management. K E Y W O R D Sacademic, benchmarking, bibliometrics, nutrition and dietetics, universities

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Section: Discussionmentioning

confidence: 99%

Benchmarking the research track record and level of appointment of Australian dietetic academics

Broome

Swanepoel

2019

Nutrition & Dietetics

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“…The Kendalls coefficient of concordance (W) [35] was computed to examine the internal consistency(IC) of the data(i.e., the four indices of h, g, x, and L indexes as well as author impact factor (AIF)) [36][37][38][39][40][41] related to MeSH clusters. If the agreement is accepted by the statistical al-pha level (<0.05), [42] the following analysis of one-way ANOVA for inspecting the difference in mean of indices is meaningful.…”

Section: Statistical Tools and Methods Used In This Studymentioning

confidence: 99%

The most cited articles on the topic of health behaviors in Google Trends research: a systematic review

2018

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Background: Over the past decade, the use of Web-based data in public health issues has been proven useful in assessing various aspects of human behavior. Google Trends is the most popular tool to gather such information and has been applied to several topics with the most focused subject related to health and medicine. However, the most cited articles and the popular medical subject headings (MESH terms) on health behaviors in Google Trends research remain unknown. The web-based behavior requires to monitor and analyze on-line data for examining actual human behavior to predict and even prevent health-related issues that constantly arise in daily life. Objective: This systematic review aimed at reporting and further presenting the most cited articles and the popular MESH terms on health behaviors in Google Trends (infodemiology) researches in health-related topics since 2009 to provide an overview of the topic burst for future research on the subject of health behavior. Methods: Following the Meta-Analyses guidelines for selecting studies, we searched for the term "Google Trends [Title]" in PubMed databases since 2009, applying specific criteria for types of journal articles. A total of 86 published papers were extracted, excluding those that did not fall inside the topics of health and medicine or the selected article types. We then further categorized the published papers according to MESH terms using social network analysis (SNA) and selected the most cited articles that related to the health behavior in Google Trends. Results: The most cited articles are those from the US in 2009 (PMID= 19845471 cited 88 times) and the UK in 2013 (PMID= 23619126 cited 74 times). The MESH term represented by Internet earns the highest impact factor (IF) and presents significantly different among term clusters (F (3,20)=15.79, p<0.001). The most number of citing journals is from PloS One. The most number of author affiliations is from the US. Conclusion: The monitoring of online queries can provide insight into human behavior, as the phenomenon is significantly and continuously growing at present and in the future for assessing behavioral changes in health topics.

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“…Az L-index egy olyan logaritmikus index számítási módszer, amely nemcsak a hivatkozások darabszámát veszi figyelembe, hanem a társszerzőket és a cikk írásának időpontját is [11]. A 2.1 képletben N a szerző cikkeinek a darabszáma, Hi a szerző i-edik cikkére történt hivatkozások száma, Si az i-edik cikk szerzőinek a száma, és Ki a szerző életkora az i-edik cikk írásának évében.…”

Section: L-indexunclassified

Klikk-keresési módszer alkalmazása az MTMT adatbázisban

Molnár

Varga

Kovács

2020

MDT

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Jelen kutatás célja a Magyar Tudományos Művek Tárának online, szabad hozzáférésű adatbázisából a publikáció-szintű hivatkozási gráf kinyerése és ez alapján egy szerzők közötti hivatkozási gráf felépítése. A gráf felépítésének és tárolásának erőforrásigénye miatt nem a teljes adathalmazra, csak a Miskolci Egyetem Hatvany József Informatikai Tudományok Doktori Iskolához köthető kutatókra és a rájuk hivatkozó szerzőkre terjedt ki a vizsgálat. A szerző-szintű hivatkozási gráf a szerzők tudománymetriai értékeléséhez kapcsolódó új mérőszámok kidolgozására adott lehetőséget. A cikkben definiáljuk a szerzők közötti hivatkozás erősségét és a szerzők hivatkozás heterogenitását. A kidolgozott kereső algoritmusokkal találtunk a gráfban körutakat, azaz körbehivatkozásokat, valamint teljes részgráfokat, azaz hivatkozási klikkeket.

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A citation-based, author- and age-normalized, logarithmic index for evaluation of individual researchers independently of publication counts

Cited by 44 publications

References 16 publications

Benchmarking the research track record and level of appointment of Australian dietetic academics

Benchmarking the research track record and level of appointment of Australian dietetic academics

The most cited articles on the topic of health behaviors in Google Trends research: a systematic review

Klikk-keresési módszer alkalmazása az MTMT adatbázisban

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