Personal Research Database

Full Text: 2007\Scientometrics73, 149.pdf

Abstract: This paper intends to observe the Asian R&D output on ‘Spices’ for the co-relation between the Asian Countries and that of the sub-fields of Spices Research and the dynamic changes, if any, in their research priorities. The chosen study period is two decades: 1983-2002. Hort CD is the source database for this research. On these premises, the frequency of keywords found in the Descriptor Field of each record in the chosen database. Mapping technique is adopted for analysis using Data and Text Mining (DTM) software. This enabled to correlate the countries versus the subject priority amongst the Asian Countries during the study period. The inferences drawn are reported along with the interpretations.

Keywords: Analysis, Areas, Asian, CD, Database, Dynamic, Indicators, Output, Paper, Research, Science, Software, Source

? Burrell, Q.L. (2007), Time-dependent aspects of co-concentration in informetrics. Scientometrics, 73 (2), 161-174.

Full Text: 2007\Scientometrics73, 161.pdf

Abstract: It is a well-known empirical fact that when informetric processes are observed over an extending period of time, the entire shape of the distribution changes. In particular, it has been shown that concentration aspects change. In this paper the recently introduced co-concentration coefficient (C-CC) is investigated via simple stochastic models of informetric processes to investigate its time-dependence. It is shown that it is important to distinguish between situations where the zero-producers can be counted and those where they cannot. A previously published data set is used to illustrate how the empirical C-CC develops in time and the general features are compared with those derived from the theoretical model.

Keywords: Behavior, Citation Distribution, Concentration, Distribution, Distributions, Empirical, Features, General, Gini Index, Informetrics, Model, Models, Paper, Shape, Stochastic, Stochastic-Model, Theoretical Model, Time

? Gauffriau, M., Larsen, P.O., Maye, I., Roulin-Perriard, A. and von Ins, M. (2007), Publication, cooperation and productivity measures in scientific research. Scientometrics, 73 (2), 175-214.

Full Text: 2007\Scientometrics73, 175.pdf

Abstract: The literature on publication counting demonstrates the use of various terminologies and methods. In many scientific publications, no information at all is given about the counting methods used. There is a lack of knowledge and agreement about the sort of information provided by the various methods, about the theoretical and technical limitations for the different methods and about the size of the differences obtained by using various methods. The need for precise definitions and terminology has been expressed repeatedly but with no success. Counting methods for publications are defined and analysed with the use of set and measure theory. The analysis depends on definitions of basic units for analysis (three chosen for examination), objects of study (three chosen for examination) and score functions (five chosen for examination). The score functions define five classes of counting methods. However, in a number of cases different combinations of basic units of analysis, objects of study and score functions give identical results. Therefore, the result is the characterization of 19 counting methods, five complete counting methods, five complete-normalized counting methods, two whole counting methods, two whole-normalized counting methods, and five straight counting methods. When scores for objects of study are added, the value obtained can be identical with or higher than the score for the union of the objects of study. Therefore, some classes of counting methods, including the classes of complete, complete-normalized and straight counting methods, are additive, others, including the classes of whole and whole-normalized counting methods, are non-additive. An analysis of the differences between scores obtained by different score functions and therefore the differences obtained by different counting methods is presented. In this analysis we introduce a new kind of objects of study, the class of cumulative-turnout networks for objects of study, containing full information on cooperation. Cumulative-turnout networks are all authors, institutions or countries contributing to the publications of an author, an institute or a country. The analysis leads to an interpretation of the results of score functions and to the definition of new indicators for scientific cooperation. We also define a number of other networks, internal cumulative-turnout networks, external cumulative-turnout networks, underlying networks, internal underlying networks and external underlying networks. The networks open new opportunities for quantitative studies of scientific cooperation.

Keywords: Additive, Analysis, Authored Papers, Characterization, Citation, Co-Authorship, Countries, Examination, Formula, Indicators, Information, Institutions, Internal, Knowledge, Limitations, Methods, Networks, Productivity, Publication, Publications, Research, Science, Scientific Publications, Size, Standards, Terminology, Theory, Value

? Munteanu, R. and Apetroae, M. (2007), Journal relatedness: An actor-actor and actor-objectives case study. Scientometrics, 73 (2), 215-230.

Full Text: 2007\Scientometrics73, 215.pdf

Abstract: Using the MACTOR (Matrix of Alliances and Conflicts: Tactics, Objectives and Recommendations) method, a set of 13 related journals covering the subject category ‘Chemistry, Multi disciplinary’ was analyzed in terms of direct and indirect reciprocal influences (measured by relatedness indexes Rji), their positions towards a generic set of common objectives (total cites, impact factor, immediacy index, number of published articles, cited half life) and the convergences (Actors x Actors and Actors x Objectives) existing in the above-mentioned relatedness network. The study identified 4 types of actors: dominant (3), independent (8), relay (1) and dominated (1)- Maps of: influences and dependences between actors, convergence between actors, net distances between actors and actors-objectives relationships are presented, together with short interpretations. Defining scientific journals as actors on a specific ‘knowledge market’, identifying influences and dependences between them and positioning these journals towards a set of measurable objectives creates an interesting possibility to define ‘relationships of power’ of a strategic nature and enables the introduction of more complex future-oriented scientometric analyses than those based solely on standard bibliometric indicators such as the impact factor.

Keywords: Bibliometric, Bibliometric Indicators, Case Study, Complex, Direct, Half-Life, Immediacy Index, Impact, Impact Factor, Index, Indicators, Journals, Life, Method, Network, Scientific Journals, Standard

? Robert, C., Wilson, C.S., Gaudy, J.F. and Arreto, C.D. (2007), The evolution of the sleep science literature over 30 years: A bibliometric analysis. Scientometrics, 73 (2), 231-256.

Full Text: 2007\Scientometrics73, 231.pdf

Abstract: During the 1974-2004 period, the sleep literature had quadrupled (2384 publications in 1974, and 9721 in 2004) while overall scientific productivity had only doubled. The set of the seven most productive countries (USA, Japan, United Kingdom, Germany, France, Canada and Italy) in sleep research, and the geographical region distribution remained stable over the three decades. On the other hand several indicators appeared in the sleep research literature during the 1990s: the increasing productivity of sleep researchers, the growing number of countries publishing on sleep, the continuous creation of sleep-focused journals, the scattering of sleep publication among increasingly more scientific journals, the turnover among the leading journals, and the emergence of new entities such as China, Turkey, and the European Union.

Keywords: Analysis, Bibliometric, Bibliometric Analysis, Canada, China, Creation, Distribution, Emergence, European Union, Evolution, France, Germany, Hand, History, Indicators, Italy, Japan, Journals, Output, Productivity, Publication, Publications, Publishing, Research, Scattering, Science, Scientific Journals, Scientific Productivity, Sleep, Trends, Turkey, Turnover, United Kingdom, USA

? Minasny, B., Hartemink, A.E. and McBratney, A. (2007), Soil science and the h index. Scientometrics, 73 (3), 257-264.

Full Text: 2007\Scientometrics73, 257.pdf

Abstract: Soil science is a relatively young and specialised field of science. This note discusses the use of the h index as a scientific output measure in soil science. We explore the governing factors of h index in soil science: the number of soil scientists, the number of papers published, the average number of citations, and the age of the scientist. We found the average relationship between h index and scientific age for soil science: h = 0.7 t. The h index for soil science is smaller than other major science disciplines but norms for h need to be established.

? Zhou, F., Guo, H.C., Ho, Y.S. and Wu, C.Z. (2007), Scientometric analysis of geostatistics using multivariate methods. Scientometrics, 73 (3), 265-279.

Full Text: 2007\Scientometrics73, 265.pdf

Abstract: Multivariate methods were successfully employed in a comprehensive scientometric analysis of geostatistics research, and the publications data for this research came from the Science Citation Index and spanned the period from 1967 to 2005. Hierarchical cluster analysis (CA) was used in publication patterns based on different types of variables. A backward discriminant analysis (DA) with appropriate statistical tests was then conducted to confirm CA results and evaluate the variations of various patterns. For authorship pattern, the 50 most productive authors were classified by CA into 4 groups representing different levels, and DA produced 92.0% correct assignment with high reliability. The discriminant parameters were mean impact factor (MIF), annual citations per publication (ACPP), and the number of publications by the first author, for country/region pattern, CA divided the top 50 most productive countries/regions into 4 groups with 95.9% correct assignments, and the discriminant parameters were MIF, ACCP, and independent publication (IP), for institute pattern, 3 groups were identified from the top 50 most productive institutes with nearly 88.0% correct assignment, and the discriminant parameters were MIF, ACCP, IP, and international collaborative publication, last, for journal pattern, the top 50 most productive journals were classified into 3 groups with nearly 98.0% correct assignment, and its discriminant parameters were total citations, impact factor and ACCP. Moreover, we also analyzed general patterns for publication document type, language, subject category, and publication growth.

Keywords: Bibliometric Analysis, Parameters, Patterns, Uncertainty

Abt, H.A. (2007), The publication rate of scientific papers depends only on the number of scientists. Scientometrics, 73 (3), 281-288.

Full Text: 2007\Scientometrics73, 281.pdf

Abstract: In the fields of physics, astronomy, geophysics, mathematics, and chemistry, the numbers of American papers published depend only on the membership numbers of their scientific societies and not upon improved facilities or instrumental breakthroughs, although those improvements have caused the scientific contents of those papers to be far better in recent decades. In the past 30-35 years there have been no increases in the average annual number of published papers per scientist in those fields.

Andrés, A., Gómez, J. and Saldaña, C. (2007), The transtheoretical model and obesity: A bibliometric study. Scientometrics, 73 (3), 289-301.

Full Text: 2007\Scientometrics73, 289.pdf

Abstract: The Transtheoretical Model of behaviour change is currently one of the most promising models in terms of understanding and promoting behaviour change related to the acquisition of healthy living habits. By means of a bibliographic search of papers adopting a TTM approach to obesity, the present bibliometric study enables the scientific output in this field to be evaluated. The results obtained reveal a growing interest in applying this model to both the treatment of obesity and its prevention. Otherwise, author and journal outputs fit the models proposed by Lotka and Bradford, respectively.

Keywords: Behavior, Cessation, Decisional Balance, Exercise, Health, Physical-Activity, Predictors, Primary-Care, Self-Change, Smoking

? Iglesias, J.E. and Pecharroman, C. (2007), Scaling the h-index for different scientific ISI fields. Scientometrics, 73 (3), 303-320.

Full Text: 2007\Scientometrics73, 303.pdf

Abstract: We propose a simple way to put in a common scale the h values of researchers working in different scientific ISI fields, so that the foreseeable misuse of this index for inter-areas F comparison might be prevented, or at least, alleviated.

Keywords: Comparison, h Index, h-Index, Hirsch-Index, Impact, ISI, Ranking

? Yu, G. and Wang, L. (2007), The self-cited rate of scientific journals and the manipulation of their impact factors. Scientometrics, 73 (3), 321-330.

Full Text: 2007\Scientometrics73, 321.pdf

Abstract: Owing to some discussions about manipulating impact factor by requesting authors to increase their citations to the publication journal, we theoretically establish a mathematical expression of a relation between the journal self-citation rate and its impact factor by the single-factor method in this paper. Based on self-citation data of some journals in JCR and the observed relation between journal impact factor and the self-cited rate, we analyze the possibility that journal editors manipulate impact factors of their journals by raising the self-cited rate. Finally, we make some suggestions for supervising this crude way of active manipulating the impact factor.

Keywords: Citations, Editors, Publication Delays

? Wang, S.H., Wang, H.J. and Weldon, P.R. (2007), Bibliometric analysis of English-language academic journals of China and their internationalization. Scientometrics, 73 (3), 331-343.

Full Text: 2007\Scientometrics73, 331.pdf

Abstract: The internationalization of ten of China’s English-language scientific journals is analyzed based on their Impact Factor, Total Citation, JCR list rank, international paper proportion and international citation proportion. Six of these journals were financed three times by the National Natural Science Foundation of China (NNSF) between 2001-2006 and four journals maintained a higher impact factor (> 1.0) in 2003-2005. The data show that though the total trend of Impact Factor and Total Citation keeps rising, their subject rank has shown a slight decrease. Moreover, the proportion of international papers and international citations do not match their JCR rank and IF: high rank journals have a low proportion of international papers (Chinese Phys Lett, Chinese Phys) and low rank journals have a high Impact Factor (Cell Res, Asian J Androl). This inconsistency may result from their insufficient internationalization either in international paper proportion (less than 20%) or in the amount of high-quality manuscripts, probably caused by their local journal title, circulation and low IF. Suggested means of improving internationalization include encouraging Chinese scientists to cite more home journals when they publish their papers in foreign journals, soliciting the submission of international co-authorships based on the unavailability of pure foreign authorship, cooperating with internationally recognized publishers to utilize their globalization platform, employing overseas scientists to recruit international papers, improving writing style and content, to enable greater accessibility to worldwide readers.

Keywords: Impact, Scientific Journals

? Braun, T. and Schubert, A. (2007), The growth of research on inter- and multidisciplinarity in science and social science papers, 1975-2006. Scientometrics, 73 (3), 345-351.

Full Text: 2007\Scientometrics73, 345.pdf

Abstract: In a follow-up study of a previous analysis concerning the period 1980-1999, we found that inter-/multidisciplinary remained a highlighted title term both in science and social science papers. It is suggested that science policy should give proper priority to inter- and multidisciplinary research.

Abt, H.A. (2007), The future of single-authored papers. Scientometrics, 73 (3), 353-358.

Full Text: 2007\Scientometrics73, 353.pdf

Abstract: The fractions of single-authored papers in four science fields (astronomy, physics, chemistry, and biology) were determined at five-year intervals during 1975-2005. In each case the distribution is best fitted with an exponential function that never reaches zero, implying that single-authored papers will continue to be published in the foreseeable future. This is contrary to the prediction that they would become extinct.

? White, H.D. (2008), Katherine W. McCain wins the 2007 Derek John de Solla Price medal. Scientometrics, 74 (1), 5-6.

Full Text: 2008\Scientometrics74, 5.pdf

? White, H.D. (2008), Katherine McCain: Recipient of the 2007 Derek de Solla Price Award of the journal Scientometrics. Scientometrics, 74 (1), 7-10.

Full Text: 2008\Scientometrics74, 7.pdf

? Glänzel, W. (2008), Preface. Scientometrics, 74 (1), 13-14.

Full Text: 2008\Scientometrics74, 13.pdf

? Bonaccorsi, A. and Daraio, C. (2008), The differentiation of the strategic profile of higher education institutions. New positioning indicators based on microdata. Scientometrics, 74 (1), 15-37.

Full Text: 2008\Scientometrics74, 15.pdf

Abstract: We address the issue of differentiation of the profile of universities and offer a set of new indicators based on microdata at the individual level and the application of robust nonparametric efficiency measures. In particular, we use efficiency measures in order to characterize the way in which universities use their inputs (academic and non academic staff, funding) in the effort to position themselves in the space of output (undergraduate teaching, postgraduate education, fundamental research, contract research, third mission), while keeping efficiency under control. The strategic problem of universities is defined as making best use of existing resources in the short run, while enlarging the scope of autonomy in procuring additional resources in the long run. In order to make best use of resources universities are led to increase their specialization and differentiate their offering profile. This happens even if the European institutional landscape does not encourage universities to differentiate.

Keywords: Education, Higher Education, Indicators, Productivity, Research, Universities

? Butler, L. (2008), ICT assessment: Moving beyond journal outputs. Scientometrics, 74 (1), 39-55.

Full Text: 2008\Scientometrics74, 39.pdf

Abstract: There are increasing moves to deploy quantitative indicators in the assessment of research, particularly in the university sector. In Australia, discussions surrounding their use have long acknowledged the unsuitability of many standard quantitative measures for most humanities, arts, social science, and applied science disciplines. To fill this void, several projects are running concurrently. This paper details the methodology and initial results for one of the projects that aims to rank conferences into prestige tiers, and which is fast gaining a reputation for best practice in such exercises. The study involves a five-stage process: identifying conferences, constructing a preliminary ranking of these, engaging in extensive consultation, testing performance measures based on the rankings on ‘live’ data, and assessing the measures. In the past, many similar attempts to develop a ranking classification for publication outlets have faltered due to the inability of researchers to agree on a hierarchy. However the Australian experience suggests that when researchers are faced with the imposition of alternative metrics that are far less palatable, consensus is more readily achieved.

Keywords: Assessment, Australia, Humanities, Indicators, Journal, Publication, Ranking, Rankings, Research, Science, Testing

? Chen, L. and Rousseau, R. (2008), Q-measures for binary divided networks: Bridges between German and English institutes in publications of the Journal of Fluid Mechanics. Scientometrics, 74 (1), 57-69.

Full Text: 2008\Scientometrics74, 57.pdf

Abstract: Q-measures for binary divided networks were introduced in 2004. These measures can value the status of notes as linkage (or bridges) between two groups in a connected undirected network. We collected data from the Web of Science and used a computer programme in order to study Qmeasures for an England-Germany collaboration network in fluid mechanics. The result indicates that Cambridge University, Manchester University, Technische Universitat Berlin, the Max Planck Institute, Stuttgart University and Forschungszentrum Karlsruhe play the most important roles as bridges between England and Germany. It is shown that having a high degree centrality and being a key node are important factors explaining the ranking of nodes in a network according to Q-value. It is observed that institutes with a high Q-value have, on average, a higher production than those with a lower Q-value.

Keywords: Collaboration, Germany, Network, Publications, Ranking, Web of Science

? Glänzel, W., Debackere, K. and Meyer, M. (2008), ‘Triad’ or ‘tetrad’? On global changes in a dynamic world. Scientometrics, 74 (1), 71-88.

Full Text: 2008\Scientometrics74, 71.pdf

Abstract: The US-EU race for world leadership in science and technology has become the favourite subject of recent studies. Studies issued by the European Commission reported the increase of the European share in the world’s scientific production and announced world leadership of the EU in scientific output at the end of the last century. In order to be able to monitor those types of global changes, the present study is based on the 15-year period 1991-2005. A set of bibliometric and technometric indicators is used to analyse activity and impact patterns in science and technology output. This set comprises publication output indicators such as (1) the share in the world total, (2) subject-based publication profiles, (3) citation-based indicators like journal-and subject-normalised mean citation rates, (4) international co-publications and their impact as well as (5) patent indicators and publication-patent citation links (both directions). The evolution of national bibliometric profiles, ‘scientific weight’ and science-technology linkage patterns are discussed as well. The authors show, using the mirror of science and technology indicators, that the triad model does no longer hold in the 21(st) century. China is challenging the leading sciento-economic powers and the time is approaching when this country will represent the world’s second largest potential in science and technology. China and other emerging scientific nations like South Korea, Taiwan, Brazil and Turkey are already changing the balance of power as measured by scientific production, as they are at least in part responsible for the relative decline of the former triad.

Keywords: America, Bibliometric, Brazil, China, Citation, EU, Indicators, Leadership, Nations, Publication, Science, Science and Technology, Science-Technology Linkage, Scientific Output, Scientific Production

? Gamber, T., Friedrich-Nishio, M. and Grupp, H. (2008), Science and technology in standardization: A statistical analysis of merging knowledge structures. Scientometrics,