scholarly journals Effect of Undergraduate Research Output on Faculty Scholarly Research Impact

2017 ◽  
Vol 12 (4) ◽  
pp. 199
Author(s):  
Adriana Popescu ◽  
Radu Popescu
Keyword(s):  
Undergraduate Student ◽  
Research Output ◽  
Statistical Significance ◽  
Citation Impact ◽  
Research Impact ◽  
Academic Departments ◽  
Faculty Research ◽  
Data Set ◽  
Citation Counts ◽  
The Impact

Abstract Objective – In the context of the ongoing discourse about the role of Institutional Repositories (IRs), the objective of the study is to investigate if there is any evidence of a relation between undergraduate student activity in an IR and the impact of faculty research. Methods – The data used for the study is representative of six academic departments of the College of Science and Mathematics (CSM) at California Polytechnic State University (Cal Poly). Digital Commons@Cal Poly (DC) is the IR supported by the library. Regression analysis was used to investigate the interdependence between faculty research impact (dependent variable) and undergraduate student repository activity (independent variable). For each department, faculty research impact was quantified as a measure of the citation counts for all faculty publications indexed in Web of Science (WoS) between January 2008 and May 2017. Student repository activity was quantified for each department in two ways: (1) total number of student projects deposited in DC since 2008 (Sp) and (2) total number of student project downloads from DC (Sd). The dependent variable was regressed against each of the two elements of student repository activity (Sp and Sd), and the resulting statistics (sample correlation coefficients, coefficients of determination, and linear regression coefficients) were calculated and checked for statistical significance. Results – The statistical analysis showed that both components of student repository activity are positively and significantly correlated with the impact of faculty research quantified by a measure of the citation counts. It was also found that faculty repository activity, although positively correlated with faculty research impact, has no significant effect on the correlation between student repository activity and faculty research impact. Conclusion – The analysis considers two distinct groups of publications: one group of student publications (senior projects) from six academic departments, which are deposited in an open repository (DC), and one group of publications (not necessarily represented in DC) of faculty affiliated with the same six departments and whose citation impact is believed to be affected by the first group. The statistical correlation between student repository activity and faculty research impact can be seen as an indication that an active, open IR centered on collecting, preserving, and making discoverable student research output has a positive impact on faculty’s research impact. More research that includes additional factors and uses a larger data set is necessary to arrive at a definitive conclusion.

scholarly journals Bibliometrics approach to evaluating the research impact of CTSAs: A pilot study

2020 ◽  
Vol 4 (4) ◽  
pp. 336-344
Author(s):  
Fei Yu ◽  
Allison Alicia Van ◽  
Tanha Patel ◽  
Nandita Mani ◽  
Andrea Carnegie ◽  
...  
Keyword(s):  
Network Analysis ◽  
Research Collaboration ◽  
Research Output ◽  
Citation Impact ◽  
Research Impact ◽  
Analysis Tool ◽  
Sampled Data ◽  
Research Collaborations ◽  
The Impact ◽  
Bibliometric Measures

AbstractIntroduction:To enhance the performance evaluation of Clinical and Translational Science Award (CTSA) hubs, we examined the utility of advanced bibliometric measures that go beyond simple publication counts to demonstrate the impact of translational research output.Methods:The sampled data included North Carolina Translational and Clinical Science Institute (NC TraCS)-supported publications produced between September 2008 and March 2017. We adopted advanced bibliometric measures and a state-of-the-art bibliometric network analysis tool to assess research productivity, citation impact, the scope of research collaboration, and the clusters of research topics.Results:Totally, 754 NC TraCS-supported publications generated over 24,000 citation counts by April 2017 with an average of 33 cites per article. NC TraCS-supported research papers received more than twice as many cites per year as the average National Institute of Health-funded research publications from the same field and time. We identified the top productive researchers and their networks within the CTSA hub. Findings demonstrated the impact of NC TraCS in facilitating interdisciplinary collaborations within the CTSA hub and across the CTSA consortium and connecting researchers with right peers and organizations.Conclusion:Both improved bibliometrics measures and bibliometric network analysis can bring new perspectives to CTSA evaluation via citation influence and the scope of research collaborations.

Research output of Indian universities in sciences (2015–2019): a scientometric analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Avijit Mahala ◽  
Rajesh Singh
Keyword(s):  
Research Output ◽  
Citation Impact ◽  
Science Research ◽  
Research Impact ◽  
Scientometric Analysis ◽  
Content Type ◽  
Research Areas ◽  
Institute Of Technology ◽  
The University ◽  
The Impact

PurposeThe present study aims to trace out the science research output of top Indian universities from 2015 to 2019, as reflected in the Web of Science (WOS) database.Design/methodology/approachThe present study has selected the Science Citation Index (SCI) of WOS core collection for selecting top Indian universities in terms of total publications in the last five years (2015–2019). The University of Delhi (DU), Banaras Hindu University (BHU), Anna University (AU), Jadavpur University (JU) and Punjab University (PU) have been selected. The study identified the most prolific authors, collaborating countries, collaborating institutions and the impact of their output in terms of citations per paper (CPP) and relative citation impact (RCI). For visualizing purposes, VOSviewer was used. The study also identified frequently used keywords and channels used for communicating research results.FindingsThe authors retrieved 26,173 documents consisting of journal articles, review papers and proceeding papers. The consistent growth of science research output has been observed. The University of Delhi (DU) has the maximum science publications. The study reflects that multi-authored papers have more research impact in terms of citation received. The USA, South Korea and Germany are the most collaborating countries. The top Indian Universities have a major collaboration with Anna University, Indian Institute of Technology, Center for Scientific and Industrial Research (CSIR) of India.Originality/valueThe present study reveals how the science research output of top Indian universities has grown in the last few years. The findings of the study can be used for identifying specific science research areas where special attention can be given.

Quantifying the research impact of the Sustainable Forest Management Network in the social sciences: a bibliometric study

2010 ◽  
Vol 40 (11) ◽  
pp. 2248-2255 ◽  
Author(s):  
Nicole L. Klenk ◽  
Anna Dabros ◽  
Gordon M. Hickey
Keyword(s):  
Social Sciences ◽  
Forest Management ◽  
Sustainable Forest Management ◽  
Research Output ◽  
Research Impact ◽  
Funded Research ◽  
Principal Investigators ◽  
The Social ◽  
Research Standards ◽  
The Impact

This research note presents the results of a bibliometric analysis that was conducted to better understand the impact that Sustainable Forest Management Network (SFMN) funded research had in the forest-related social and Aboriginal research communities. We applied two indicators of research impact: (i) research outputs and (ii) citations. Our results suggest that the SFMN’s research outputs were highest in the fields of economics, sociology, and political science and law. The number of research articles that acknowledged the SFMN was 30% of the total research output of the SFMN-funded Principal Investigators. These articles represented 3% of the social science articles published in the Forestry Chronicle (the journal most frequently used by SFMN-funded Principal Investigators). Research output related to Aboriginal forestry indicated that the SFMN had a significant influence on the development of the field. Our citation analysis indicated that the average number of citations per SFMN-acknowledged publication in the social sciences was approximately the same as the international impact standard in the field. These results suggest that the SFMN-funded research in the social sciences compared very well with the international research standards in forest-related social sciences.

scholarly journals The Nexus between Funding and Research Output: A Case Study in Universiti Teknologi MARA

2018 ◽  
Vol 7 (3.15) ◽  
pp. 187
Author(s):  
Caroline Henry ◽  
Nor Azura Md Ghani ◽  
Halilah Haron ◽  
Umi Marshida Abd Hamid ◽  
Ahmad Naqiyuddin Bakar ◽  
...  
Keyword(s):  
Research Productivity ◽  
Web Of Science ◽  
Clinical Medicine ◽  
Research Output ◽  
Research Impact ◽  
Higher Learning ◽  
Learning Institutions ◽  
The Impact ◽  
Continuous Problem

Financial sustainability has been a continuous problem that Higher Learning Institutions (HLI) have to face. In addition, funding has always played a role in the process of research as many have proven that there is a relationship between funding and research impact. This study highlights the impact of funding on UiTM’s research productivity. Publications published by UiTM in 2012 to 2016 from Web of Science (WoS) were used to compare the impact of both funded and unfunded publications. The findings showed that 32.53% of the publications published from 2007 to 2016 were funded. Funded publications published in high impact journals have higher citations compared to unfunded publications particularly for Medical and Science & Technology related fields such as Clinical Medicine and Chemistry. This proves that financial assistance is key to drive quality research and produce impactful publications as it indirectly increases the institution’s research productivity.  

scholarly journals Among-environment heteroscedasticity and genetic autocorrelation: implications for the study of phenotypic plasticity.

Genetics ◽  
1995 ◽  
Vol 139 (4) ◽  
pp. 1815-1829
Author(s):  
P Dutilleul ◽  
C Potvin
Keyword(s):  
Phenotypic Plasticity ◽  
Variance Component ◽  
Statistical Tests ◽  
Statistical Significance ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Data Set ◽  
Genotype By Environment ◽  
Sample Covariance ◽  
The Impact

Abstract The impact of among-environment heteroscedasticity and genetic autocorrelation on the analysis of phenotypic plasticity is examined. Among-environment heteroscedasticity occurs when genotypic variances differ among environments. Genetic autocorrelation arises whenever the responses of a genotype to different environments are more or less similar than expected for observations randomly associated. In a multivariate analysis-of-variance model, three transformations of genotypic profiles (reaction norms), which apply to the residuals of the model while preserving the mean responses within environments, are derived. The transformations remove either among-environment heteroscedasticity, genetic autocorrelation or both. When both nuisances are not removed, statistical tests are corrected in a modified univariate approach using the sample covariance matrix of the genotypic profiles. Methods are illustrated on a Chlamydomonas reinhardtii data set. When heteroscedasticity was removed, the variance component associated with the genotype-by-environment interaction increased proportionally to the genotype variance component. As a result, the genetic correlation rg was altered. Genetic autocorrelation was responsible for statistical significance of the genotype-by-environment interaction and genotype main effects on raw data. When autocorrelation was removed, the ranking of genotypes according to their stability index dramatically changed. Evolutionary implications of our methods and results are discussed.

An Application of the Data Envelopment Analysis Method to Evaluate the Performance of Academic Departments within A Higher Education Institution

2016 ◽  
pp. 71-87 ◽  
Author(s):  
Oanh Nguyen Hoang ◽  
Ngoc Nguyen Hong
Keyword(s):  
Data Envelopment Analysis ◽  
Research Output ◽  
Academic Staff ◽  
Education Institution ◽  
Academic Departments ◽  
Productivity Change ◽  
Data Envelopment ◽  
Analysis Method ◽  
Data Set ◽  
Using Data

This paper aims to evaluate the efficiency or the productivity of academic departments within a university using Data Envelopment Analysis. As an illustrative example, we investigate the performance of 57 departments of National Economics University (NEU) for three years, from 2013 to 2015. The data set consists of one input variable, which is the number of academic staff, and three output variables in which the number of research hours is considered as research output and the number of graduates and teaching load are defined as teaching outputs. Particularly, the output-oriented CCR, BCC, and SBM model under both the CRS and VRS assumptions are applied in order to determine accurate degrees of efficiency of individual departments and directions for performance improvement for less efficient ones. The output-oriented radial Malmquist DEA model is also employed to make a comparative analysis of the productivity change of the departments over the period. The results reveal some clear policy-making implications for departments to adjust their development plan in an appropriate way.

Altmetrics: “big data” that map the influence of New Zealand research

2018 ◽  
Vol 35 (4) ◽  
pp. 1-5 ◽  
Author(s):  
Stacy Konkiel ◽  
Stephanie Guichard
Keyword(s):  
New Zealand ◽  
Citation Analysis ◽  
Design Methodology ◽  
Research Impact ◽  
University Rankings ◽  
Journal Articles ◽  
Data Set ◽  
Content Type ◽  
Mainstream Media ◽  
The Impact

Purpose Altmetrics can offer organizations a unique opportunity to understand the non-traditional scholarly and public influence of their institutions’ research. This paper aims to look at bibliometrics and altmetrics for New Zealand research published in 2016 to understand the country’s research’s reach in social media, mainstream media and public policy, as well as more traditional measures of research impact such as university rankings, citations and publications. Design/methodology/approach Research insights platform Dimensions was searched for author affiliations and publication dates for papers published in 2016 by New Zealand researchers (n = 10,934). The study then used Dimensions to perform citation analysis and Altmetric Explorer to find altmetrics for these journal articles, and to generate visualizations to better interrogate the data set. Findings Of the 10,934 papers published in 2016 by New Zealand (2016 NZ) researchers, 5,413 (49.5 per cent) were mentioned 86,915 times in one of the 16 sources that Altmetric tracks. Twitter, news outlets and Facebook were among the sources that showed the most engagement with New Zealand 2016 research. Citation analysis tools in Dimensions showed that New Zealand 2016 research had a higher than average Field Citation Ratio (1.51) and Relative Citation Ratio (1.29). Originality/value This study combines traditional bibliometric analysis with altmetrics to find new insights into the impact of recent New Zealand research. It suggests new means for organizations to demonstrate the value of the research they produce.

scholarly journals The Impacts of Public Administrative Quality on Profitable Enterprises in Vietnam

2021 ◽  
Vol 2 (5) ◽  
pp. 28-43
Author(s):  
Bac Truong Cong ◽  
Doan Van Hoang
Keyword(s):  
International Development ◽  
Public Administration ◽  
Statistical Significance ◽  
Estimation Method ◽  
The United States ◽  
Negative Effects ◽  
Data Set ◽  
Panel Data Estimation ◽  
The Impact

This study aims to understand the relationship between the quality of public administration and the rate of profitable enterprises by locality in Vietnam in the period 2015 - 2019. With a combined data set from two sources including The first is the Provincial Competitiveness Index (PCI) dataset jointly implemented by the Vietnam Chamber of Commerce and Industry (VCCI) with the support of the United States Agency for International Development (USAID) in Vietnam, the second is the "White Book of Vietnamese Enterprises" compiled and published annually by the General Statistics Office of Vietnam. Combined with panel data estimation method to assess the impact of public administration quality indicators on the rate of profitable enterprises by locality. Research results show that there exists a relationship between the quality of public administration and the rate of profitable enterprises. Especially the indicators of Entry Costs, Policy Bias, and Labor and Training have both positive and negative effects with very strong statistical significance.

Towards new ways of assessing the impact of local medical journals: A proposal and call for change

IFLA Journal ◽  
2019 ◽  
Vol 45 (3) ◽  
pp. 199-206
Author(s):  
Christine Wamunyima Kanyengo ◽  
Mercy Wamunyima Monde ◽  
Akakandelwa Akakandelwa
Keyword(s):  
Local Community ◽  
Treatment Guidelines ◽  
Research Output ◽  
Journal Article ◽  
Health Sector ◽  
Research Impact ◽  
Practice Research ◽  
Changing Practice ◽  
Local Contexts ◽  
The Impact

The relevance of research output to the local community is critical to changing practice. Research relevance has to be determined using measurements that show that the knowledge that arose from that research has made an impact on society. This paper, based on a literature review and preliminary research results, advocates for research impact measurements which take account of local contexts when evaluating the relevance of a journal article or indeed any research output. It concludes that a journal should go beyond traditional measurement metrics of citation analysis and bibliometrics alone as a measure of research impact. Although it is important to standardise measurements, it is also important that local communities should be encouraged to choose measurements of research output that matter to them. The proposed ways of assessing research impact are: (a) change in policies in the health sector, (b) effect on local medical treatment guidelines, (c) effect on case management, (d) use in continuous professional development, and (e) impact on local knowledge production.

scholarly journals Management of University Research Publication: A Case Study of JUIT Publication Database (JPubDB)

2016 ◽  
Vol 36 (4) ◽  
Author(s):  
Shri Ram ◽  
Nitin Paliwal
Keyword(s):  
Research Output ◽  
Citation Count ◽  
Research Impact ◽  
Global Community ◽  
Research Publication ◽  
Standard Format ◽  
Free Mode ◽  
And Performance ◽  
The University ◽  
The Impact

Along with the teaching, publications and research output, national and international funding has become essential criterion for benchmarking and performance measurement of the university. To stand and compete with stakeholders, it is essential to carefully monitor the impact of university publication over global research. The role of the library becomes more important to take a lead in monitoring and management of the university publications. A library needs to gather, organize and maintain publication in a standard format and take appropriate measure to disseminate research with global community. Further, it is essential to assess the research impact of the publication through different methodologies such as bibliometrics or web metrics. The purpose of this paper is to develop a database of university publication with the acronym ‘JPubDB’ (JUIT Publication Database: available at http://juit.ac.in/jpubdb), in order to collect, analyze and organized at one place and market the research publication with global community. The provisions have been made to link each publication with each faculty profile and department in a standard citation style, assess the citation count through Google Scholar, sharing of publication through social networking tools, and if the full text of any publication is available, that can be downloadable in copyright free mode.

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