Subjects: Agriculture, Forestry,Livestock & Aquatic Products Science >> Other Disciplines of Agriculture, Forestry,Livestock & Aquatic Products Science submitted time 2024-06-26 Cooperative journals: 《农业图书情报学报》
Abstract： Purpose/Significance The birth of the Internet has brought revolutionary impact on bibliometrics, giving rise to a number of online download indicators for academic literature. The most representative basic indicator among them is the download frequency, but it also includes the annual download rate, the total download volume, the download half-life, and the Google Scholar Index. The proposal of these indicators provides a new method and means of measuring scholarly dissemination and impact, which is a significant development of traditional bibliometrics and an important component of alternative metrics. Given the lack of indicators that comprehensively characterize the dissemination, impact, knowledge and information volume of academic journals, this paper proposes the download factor indicator to address this problem. Method/Process First, according to the changes of download frequency and citation frequency over the years, based on the citation data of CSSCI journals of library information and bibliology on CNKI, a panel data model was used to establish a prediction model of download frequency and citation frequency, and the optimal lag period for designing the download factor was determined. The indicator of download factor was proposed, that is, the average number of downloads per hundred times of each paper after 2 years of publication. This paper further used ridge regression to analyze the relationship between the download factor and the impact factor, h-index, and the number of articles. Results/Conclusions The download frequency with a lag of 1 year and 2 years determines 80% of the citation frequency. This article innovatively adopts a panel data model and comprehensively evaluates the impact of download frequency on citation frequency in both current and lagged periods, thereby greatly improving the prediction accuracy. The download factor can better measure the knowledge information volume, dissemination level, influence and academic quality of the journal. The timeline for downloading factor indicators is synchronized with the influencing factors, both within 2 years after the publication of journal articles, focusing on the evaluation of academic communication level. The download factor has the highest correlation with the main indicator of the impact of journal quality, the h-index, and has a high correlation with the impact factor and publication volume. It has good statistical indicator properties and is a comprehensive indicator for evaluating journals; the download factor index needs to be more inspection of application in disciplines and use of data. This article is based on the conclusions drawn from the research of 19 CSSCI journals in library and information science literature. The relationship between download frequency and citation frequency in other disciplines, as well as the construction of download factors, require further research in conjunction with the latest data.
Subjects: Library Science，Information Science >> Philology submitted time 2024-04-03 Cooperative journals: 《农业图书情报学报》
Abstract： Purpose/Significance The birth of the Internet has brought revolutionary impact on bibliometrics, giving rise to a number of online download indicators for academic literature. The most representative basic indicator among them is the download frequency, but it also includes the annual download rate, the total download volume, the download half-life, and the Google Scholar Index. The proposal of these indicators provides a new method and means of measuring scholarly dissemination and impact, which is a significant development of traditional bibliometrics and an important component of alternative metrics. Given the lack of indicators that comprehensively characterize the dissemination, impact, knowledge and information volume of academic journals, this paper proposes the download factor indicator to address this problem. Method/Process First, according to the changes of download frequency and citation frequency over the years, based on the citation data of CSSCI journals of library information and bibliology on CNKI, a panel data model was used to establish a prediction model of download frequency and citation frequency, and the optimal lag period for designing the download factor was determined. The indicator of download factor was proposed, that is, the average number of downloads per hundred times of each paper after 2 years of publication. This paper further used ridge regression to analyze the relationship between the download factor and the impact factor, h-index, and the number of articles. Results/Conclusions The download frequency with a lag of 1 year and 2 years determines 80% of the citation frequency. This article innovatively adopts a panel data model and comprehensively evaluates the impact of download frequency on citation frequency in both current and lagged periods, thereby greatly improving the prediction accuracy. The download factor can better measure the knowledge information volume, dissemination level, influence and academic quality of the journal. The timeline for downloading factor indicators is synchronized with the influencing factors, both within 2 years after the publication of journal articles, focusing on the evaluation of academic communication level. The download factor has the highest correlation with the main indicator of the impact of journal quality, the h-index, and has a high correlation with the impact factor and publication volume. It has good statistical indicator properties and is a comprehensive indicator for evaluating journals; the download factor index needs to be more inspection of application in disciplines and use of data. This article is based on the conclusions drawn from the research of 19 CSSCI journals in library and information science literature. The relationship between download frequency and citation frequency in other disciplines, as well as the construction of download factors, require further research in conjunction with the latest data.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] There are many evaluation indicators and methods for journal evaluation, and it is of great significance to study the importance of evaluation indicators of journals. This paper proposed an analysis framework for "post-event" analysis of the importance or weight of evaluation indicators. [Method/Process] This paper divides the journal evaluation indicators into "before" importance and "after" importance, and focuses on the "after" importance, that is, the determination of key indicators after objective cluster analysis. Taking the bibliometric indicators of JCR 2019 economics journals as the research object, K-means clustering was first used to obtain the classification of evaluation results, and then the key indicators of journal evaluation were calculated based on principal component analysis and partial least squares discriminant analysis, and the importance of each indicator was analyzed. Starting from the objective results and the meaning of the indicators themselves, this study expounded the reasons why indicators are important. [Results/Conclusions] Compared with the importance of "before", the importance of "after the fact" is to determine the evaluation results first, without involving weights, and completely based on data evaluation. There is relatively little controversy in the selection of methods. The indicator is more scientific and objective; the use of multi-factor evaluation can comprehensively reflect the common influence of each variable, and the use of the "dimension reduction" idea can better retain the information of the original variables and reduce the multicollinearity of the evaluation indicator; K-means cluster analysis methods, both the PLS-DA and PLS-DA models, are capable of evaluating and classifying journals. According to the results of PLS-DA, the VIP value of five indicators is greater than 1; the three most important indicators that affect the evaluation results of journals obtained by the PLS-DA method are the journal impact factor(IF), the other citation IF and the five-year IF, and the meaning of the indicators is the IF of other citations and the five-year IF make up for the shortcomings of the IF; the importance of the journal IF, the IF of other citations and the five-year IF is not much different, and the importance of the journal IF is relatively greater. In the quantitative evaluation of journals, it is necessary to use multi-index evaluation to make the evaluation more comprehensive and scientific; PLS-DA has a good effect on general journals, but the better journals have a general effect, and cannot effectively distinguish Class A journals.
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