Search results

1 – 10 of over 74000
To view the access options for this content please click here
Article
Publication date: 1 December 2017

Albert Edgar Manyuchi and John Ouma Mugabe

A growing number of African countries are starting to produce science, technology and innovation (STI) indicators. The purpose of this paper is to provide some lessons…

Abstract

Purpose

A growing number of African countries are starting to produce science, technology and innovation (STI) indicators. The purpose of this paper is to provide some lessons learnt in the production and use of STI indicators in Malawi and South Africa. It is compares the two countries’ efforts to conduct Research and Development (R&D) surveys and examines whether and how STI indicators are used in policymaking processes.

Design/methodology/approach

The study approach is qualitative. The research methodology encompasses a thorough review of both policy and academic literature as well as some interviews.

Findings

The study demonstrates that South Africa has a relatively developed institutional arrangement for undertaking R&D and innovation surveys and developing related STI indicators. There is evidence that efforts are being made to use STI indicators to inform policymaking in the country. On the other hand, Malawi conducted its first R&D survey under the African Science, Technology and Innovation Indicators Initiative (ASTII) and has not established an institutional mechanism dedicated to producing STI indicators. There is no evidence that indicators are used in, or to inform, policymaking in the country.

Research limitations/implications

Because of significant differences in STI policymaking histories, capacities and cultures of the two countries, it is not really useful to compare the STI production and use. Rather it is important to draw lessons from the efforts of the two countries.

Practical implications

The results suggest that the production of STI indicators should be embedded in policy processes. To be useful and effective, STI indicators production needs to be explicitly linked to policy formulation, evaluation and monitoring activities without necessarily undermining the independence of producing STI indicators.

Social implications

Creating stand-alone programmes or agencies for R&D and innovation surveys without clear articulation with policymaking needs erodes opportunities of having evidence-based STI policy regimes.

Originality/value

Although in 2005 only South Africa and Tunisia had national programmes dedicated to the generation of R&D statistics, by the end of 2010 at least 19 African countries had experimented with conducting R&D surveys under the auspices of the ASTII of the New Partnership for Africa’s Development. These countries accumulated different experiences and consequently build different kinds of institutional capacities. Through the Malawi and South Africa case studies, some important lessons for STI indicators production and use and STI policymaking can be drawn for developing countries in general and African countries in particular.

Details

Journal of Science and Technology Policy Management, vol. 9 no. 1
Type: Research Article
ISSN: 2053-4620

Keywords

To view the access options for this content please click here
Article
Publication date: 26 July 2011

Alonso Rodríguez‐Navarro

Several bibliometric indicators that are extensively used to estimate research performance have not been validated against an external criterion of excellence. This paper…

Downloads
1259

Abstract

Purpose

Several bibliometric indicators that are extensively used to estimate research performance have not been validated against an external criterion of excellence. This paper aims to investigate whether this validation is possible using the number of Nobel Prize awards.

Design/methodology/approach

This study uses several analytical treatments of the data to investigate: whether Nobel Prize awards are sporadic events or they depend on the scientific activity of countries or institutions and can be used in research evaluation; and the association between the number of Nobel Prize achievements and conventional bibliometric indicators across countries and institutions.

Findings

This study finds that conventional bibliometric indicators, numbers of publications, citations, and top 1 per cent most cited publications, correlate with the number of Nobel Prize achievements in several advanced countries with similar research abilities. Contrarily, in countries and institutions with more variable research characteristics, there is no association between conventional bibliometric indicators and the number of Nobel Prize achievements, and their use as indicators of research excellence is not valid. In contrast, the number of national articles in Nature and Science correlates with the number of Nobel Prize achievements across countries and institutions.

Practical implications

Science administrators implementing research evaluations and research incentives based on conventional bibliometric indicators should consider that increasing the scores of these indicators does not imply an improvement in research excellence.

Originality/value

The study demonstrates that Nobel Prize achievements are not singular events that occur by chance. Therefore, the number of Nobel Prize achievements can be used to validate bibliometric indicators.

Details

Journal of Documentation, vol. 67 no. 4
Type: Research Article
ISSN: 0022-0418

Keywords

To view the access options for this content please click here
Article
Publication date: 17 October 2019

Ali Ouchi, Mohammad Karim Saberi, Nasim Ansari, Leila Hashempour and Alireza Isfandyari-Moghaddam

The purpose of this paper is to study the presence of highly cited papers of Nature in social media websites and tools. It also tries to examine the correlation between…

Abstract

Purpose

The purpose of this paper is to study the presence of highly cited papers of Nature in social media websites and tools. It also tries to examine the correlation between altmetric and bibliometric indicators.

Design/methodology/approach

This descriptive study was carried out using altmetric indicators. The research sample consisted of 1,000 most-cited articles in Nature. In February 2019, the bibliographic information of these articles was extracted from the Scopus database. Then, the titles of all articles were manually searched on Google, and by referring to the article in the journal website and altmetric institution, the data related to social media presence and altmetric score of articles were collected. The data were analyzed using Microsoft Excel and SPSS.

Findings

According to the results of the study, from 1,000 articles, 989 of them (98.9 per cent) were mentioned at least once in different social media websites and tools. The most used altmetric source in highly cited articles was Mendeley (98.9 per cent), followed by Citeulike (79.8 per cent) and Wikipedia (69.4 per cent). Most Tweets, blog posts, Facebook posts, news stories, readers in Mendeley, Citeulike and Connotea and Wikipedia citations belonged to the article titled “Mastering the game of Go with deep neural networks and tree search”. The highest altmetric score was 3,135 which belonged to this paper. Most tweeters and articles’ readers were from the USA. The membership type of the tweeters was public membership. In terms of fields of study, most readers were PhD students in Agricultural and Biological Sciences. Finally, the results of Spearman’s Correlation revealed positive significant statistical correlation between all altmetric indicators and received citations of highly cited articles (p-value = 0.0001).

Practical implications

The results of this study can help researchers, editors and editorial boards of journals better understand the importance and benefits of using social media and tools to publish articles.

Originality/value

Altmetrics is a relatively new field, and in particular, there are not many studies related to the presence of articles in various social media until now. Accordingly, in this study, a comprehensive altmetric analysis was carried out on 1000 most-cited articles of one of the world's most reliable journals.

Details

Information Discovery and Delivery, vol. 47 no. 4
Type: Research Article
ISSN: 2398-6247

Keywords

To view the access options for this content please click here
Article
Publication date: 24 May 2021

Zahra Batooli, Azam Mohamadloo and Somayyeh Nadi-Ravandi

The study aimed to measure scientific and social impacts of Iranian researchers' “Top Papers” in clinical medicine using citation and altmetric indicators.

Abstract

Purpose

The study aimed to measure scientific and social impacts of Iranian researchers' “Top Papers” in clinical medicine using citation and altmetric indicators.

Design/methodology/approach

In this applied descriptive-analytical study, it used scientometric analysis. A total of 166 “Top Papers” of Iranian researchers in clinical medicine category of Web of Science (WoS) database including “Highly Cited Papers” and “Hot Papers” published between 2009 and 2019 were used. Overall, 29 indicators and their data were extracted from WoS, Scopus, ResearchGate (RG) and PlumX in March 2020.

Findings

The results showed that there exists a positive correlation between the number of citations in WoS, Scopus, RG, PubMed and Crossref. In addition, it was found that there existed a positive correlation between the received citations by articles and altmetric indicators. According to the results, there is a strong correlation between RG Research Interest and citation impact. The correlation analysis on the Plum Analytics categories including “Usage”, “Capture”, “Mention”, “Social Media” and “Citation” showed the correlations between five dimensions of impact were positive and significant. The results have led the authors to think more about new metrics that can response to new developments in the new information areas.

Research limitations/implications

There are limitations to access altmetric.com in Iran and cannot be used easily. On the other hand, because of considering 24 indicators, authors had to investigate only a sample of 166 top papers from Iranian researchers to present the detailed results. About nature of altmetric indicators, although they reflect the nonacademic impact of articles alongside bibliographic indicators, they still cannot be a complete representative of the influence of their owners.

Practical implications

This study can indicate a practical application appropriate for the future study. It would be valuable to further examine how social academic platforms construct images of impact of research and how this impacts the social impact of the university as a mission. This study suggests that social media attention to academic research can be much greater than what is shown in traditional indicators such as citation.

Originality/value

This study examines 29 indicators from four platforms including RG, WoS, Scopus and PlumX, simultaneously and measures the relationship among them.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

To view the access options for this content please click here
Article
Publication date: 1 January 1982

Anthony M. Endres

Indicators of economic and social phenomena can be useful descriptive and analytical inputs for public policy. The “social indicators movement” has emerged in the last…

Abstract

Indicators of economic and social phenomena can be useful descriptive and analytical inputs for public policy. The “social indicators movement” has emerged in the last decade and is devoted to the measurement of widely‐ranging dimensions of human welfare. For the most part, questions of systematic measurement for public policy are explored here. Drawing initially on some traditions of measurement in economics, the principal aim is to provide a broad theoretical frame of reference for policy indicator design. Questions of indicator development necessarily involve ideas of suitability or validity of indicators designed for a purpose. Approaches to indicator design for the purpose of enhancing collective decision‐making—including formal model building approaches—are subsumed as special cases once a more general theory is espoused in sections II and III.

Details

International Journal of Social Economics, vol. 9 no. 1
Type: Research Article
ISSN: 0306-8293

To view the access options for this content please click here
Article
Publication date: 1 February 2003

Loet Leydesdorff

Aggregated journal‐journal citations can be used for mapping the intellectual organization of the sciences in terms of specialties because the latter can be considered as…

Abstract

Aggregated journal‐journal citations can be used for mapping the intellectual organization of the sciences in terms of specialties because the latter can be considered as interreading communities. Can the journal‐journal citations also be used as early indicators of change by comparing the files for two subsequent years? Probabilistic entropy measures enable us to analyze changes in large datasets at different levels of aggregation and in considerable detail. Compares Journal Citation Reports of the Social Science Citation Index for 1999 with similar data for 1998 and analyzes the differences using these measures. Compares the various indicators with similar developments in the Science Citation Index. Specialty formation seems a more important mechanism in the development of the social sciences than in the natural and life sciences, but the developments in the social sciences are volatile. The use of aggregate statistics based on the Science Citation Index is ill‐advised in the case of the social sciences because of structural differences in the underlying dynamics.

Details

Journal of Documentation, vol. 59 no. 1
Type: Research Article
ISSN: 0022-0418

Keywords

To view the access options for this content please click here
Article
Publication date: 18 May 2015

Rodrigo Costas, Zohreh Zahedi and Paul Wouters

The purpose of this paper is to analyze the disciplinary orientation of scientific publications that were mentioned on different social media platforms, focussing on their…

Downloads
1888

Abstract

Purpose

The purpose of this paper is to analyze the disciplinary orientation of scientific publications that were mentioned on different social media platforms, focussing on their differences and similarities with citation counts.

Design/methodology/approach

Social media metrics and readership counts, associated with 500,216 publications and their citation data from the Web of Science database, were collected from Altmetric.com and Mendeley. Results are presented through descriptive statistical analyses together with science maps generated with VOSviewer.

Findings

The results confirm Mendeley as the most prevalent social media source with similar characteristics to citations in their distribution across fields and their density in average values per publication. The humanities, natural sciences, and engineering disciplines have a much lower presence of social media metrics. Twitter has a stronger focus on general medicine and social sciences. Other sources (blog, Facebook, Google+, and news media mentions) are more prominent in regards to multidisciplinary journals.

Originality/value

This paper reinforces the relevance of Mendeley as a social media source for analytical purposes from a disciplinary perspective, being particularly relevant for the social sciences (together with Twitter). Key implications for the use of social media metrics on the evaluation of research performance (e.g. the concentration of some social media metrics, such as blogs, news items, etc., around multidisciplinary journals) are identified.

Details

Aslib Journal of Information Management, vol. 67 no. 3
Type: Research Article
ISSN: 2050-3806

Keywords

To view the access options for this content please click here
Article
Publication date: 10 November 2020

Xiujuan Chen, Zhiqiang Zhang and Jinjing Guo

The purpose of this paper is to provide theoretical basis and data support for researchers to choose appropriate international partners, provide a basis for Chinese…

Abstract

Purpose

The purpose of this paper is to provide theoretical basis and data support for researchers to choose appropriate international partners, provide a basis for Chinese research funding agencies, such as National Natural Science Foundation of China (NSFC) to formulate international research collaboration (IRC) strategies and policies and provide recommendations for the improvement of the internationalization level of China's basic scientific research.

Design/methodology/approach

Based on existing research, this study took output of “Major International (Regional) Joint Research Project” (MIJRP) funded by NSFC and participated by Chinese scholars in the meantime as the analysis object, proposed hypotheses and constructed the indicators of IRC and research output (RO). In addition, the mathematical statistics was used to compare the RO of China's IRC and nonIRC, and the statistical analysis model was used to measure the influence on RO of collaboration country's research capacity, research collaboration between China and US, scope of international research collaboration and reprint author country.

Findings

The RO of China's IRC is higher than that of nonIRC; research capacity of collaboration country has no inevitable effect on the RO of China's IRC; the RO of China's IRC participated by Americans is higher than that without American scholars; expanding the scope of China's IRC to some degree can increase RO; the RO of China's IRC led by foreigners is higher than that led by Chinese. In particular, China–US IRC and foreign scholars acting as the reprint author are two major factors for the RO of China's IRC.

Originality/value

Most of the traditional research on IRC are based on the co-author papers, and this study tried to analyze the characteristics and regularities on IRC from a new view of international collaboration projects, which can be a supplement to the traditional international collaboration research on co-author papers.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

To view the access options for this content please click here
Article
Publication date: 28 February 2019

Mohammad Karim Saberi and Faezeh Ekhtiyari

The purpose of this paper is to investigate the usage, captures, mentions, social media and citations of highly cited papers of Library and information science (LIS).

Abstract

Purpose

The purpose of this paper is to investigate the usage, captures, mentions, social media and citations of highly cited papers of Library and information science (LIS).

Design/methodology/approach

This study is quantitative research that was conducted using scientometrics and altmetrics indicators. The research sample consists of LIS classic papers. The papers contain highly cited papers of LIS that are introduced by Google Scholar. The research data have been gathered from Google Scholar, Scopus and Plum Analytics Categories. The data analysis has been done by Excel and SPSS applications.

Findings

The data indicate that among the highly cited articles of LIS, the highest score regarding the usage, captures, mentions and social media and the most abundance of citations belong to “Citation advantage of open access articles” and “Usage patterns of collaborative tagging systems.” Based on the results of Spearman statistical tests, there is a positive significant correlation between Google Scholar Citations and all studied indicators. However, only the correlation between Google Scholar Citations with capture metrics (p-value = 0.047) and citation metrics (p-value = 0.0001) was statistically significant.

Originality/value

Altmetrics indicators can be used as complement traditional indicators of Scientometrics to study the impact of papers. Therefore, the Altmetrics knowledge of LIS researchers and experts and practicing new studies in this field will be very important.

Details

Performance Measurement and Metrics, vol. 20 no. 1
Type: Research Article
ISSN: 1467-8047

Keywords

Content available
Article
Publication date: 12 April 2021

Björn Hammarfelt

In this article, the ideas and methods behind the “patent-paper citation” are scrutinised by following the intellectual and technical development of approaches and ideas…

Abstract

Purpose

In this article, the ideas and methods behind the “patent-paper citation” are scrutinised by following the intellectual and technical development of approaches and ideas in early work on patentometrics. The aim is to study how references from patents to papers came to play a crucial role in establishing a link between science and technology.

Design/methodology/approach

The study comprises a conceptual history of the “patent paper citation” and its emergence as an important indicator of science and technology interaction. By tracing key references in the field, it analyses the overarching frameworks and ideas, the conceptual “hinterland”, in which the approach of studying patent references emerged.

Findings

The analysis explains how interest in patents – not only as legal and economic artefacts but also as scientific documents – became evident in the 1980s. The focus on patent citations was sparked by a need for relevant and objective indicators and by the greater availability of databases and methods. Yet, the development of patentometrics also relied on earlier research, and established theories, on the relation between science and technology.

Originality/value

This is the first attempt at situating patentometrics in a larger societal and scientific context. The paper offers a reflexive and nuanced analysis of the “patent-paper citation” as a theoretical and historical construct, and it calls for a broader and contextualised understanding of patent references, including their social, legal and rhetorical function.

Details

Journal of Documentation, vol. 77 no. 6
Type: Research Article
ISSN: 0022-0418

Keywords

1 – 10 of over 74000