Search (1377 results, page 3 of 69)

  • × theme_ss:"Informetrie"
  1. Jonkers, K.; Moya Anegon, F. de; Aguillo, I.F.: Measuring the usage of e-research infrastructure as an indicator of research activity (2012) 0.02
    0.023747265 = product of:
      0.035620898 = sum of:
        0.007963953 = weight(_text_:a in 277) [ClassicSimilarity], result of:
          0.007963953 = score(doc=277,freq=8.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.15287387 = fieldWeight in 277, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=277)
        0.027656946 = product of:
          0.055313893 = sum of:
            0.055313893 = weight(_text_:de in 277) [ClassicSimilarity], result of:
              0.055313893 = score(doc=277,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.28488597 = fieldWeight in 277, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.046875 = fieldNorm(doc=277)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    This study combines Web usage mining, Web link analysis, and bibliometric methods for analyzing research activities in research organizations. It uses visits to the Expert Protein Analysis System (ExPASy) server-a virtual research infrastructure for bioinformatics-as a proxy for measuring bioinformatic research activity. The study finds that in the United Kingdom (UK), Germany, and Spain the number of visits to the ExPASy Web server made by research organizations is significantly positively correlated with research output in the field of biochemistry, molecular biology, and genetics. Only in the UK do we find a significant positive correlation between ExPASy visits per publication and the normalized impact of an organization's publications. The type of indicator developed in this study can be used to measure research activity in fields in which e-research has become important. In addition, it can be used for the evaluation of e-research infrastructures.
    Type
    a
  2. Guerrero Bote, V.P.; Olmeda-Gómez, C.; Moya-Anegón, F. de: Quantifying the benefits of international scientific collaboration (2013) 0.02
    0.023747265 = product of:
      0.035620898 = sum of:
        0.007963953 = weight(_text_:a in 618) [ClassicSimilarity], result of:
          0.007963953 = score(doc=618,freq=8.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.15287387 = fieldWeight in 618, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=618)
        0.027656946 = product of:
          0.055313893 = sum of:
            0.055313893 = weight(_text_:de in 618) [ClassicSimilarity], result of:
              0.055313893 = score(doc=618,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.28488597 = fieldWeight in 618, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.046875 = fieldNorm(doc=618)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    We analyze the benefits in terms of scientific impact deriving from international collaboration, examining both those for a country when it collaborates and also those for the other countries when they are collaborating with the former. The data show the more countries there are involved in the collaboration, the greater the gain in impact. Contrary to what we expected, the scientific impact of a country does not significantly influence the benefit it derives from collaboration, but does seem to positively influence the benefit obtained by the other countries collaborating with it. Although there was a weak correlation between these two classes of benefit, the countries with the highest impact were clear outliers from this correlation, tending to provide proportionally more benefit to their collaborating countries than they themselves obtained. Two surprising findings were the null benefit resulting from collaboration with Iran, and the small benefit resulting from collaboration with the United States despite its high impact.
    Type
    a
  3. Arboit, A.E.; Cabrini Gracio, M.C.; Oliveira, E.F.T. de; Bufrem, L.S.: ¬The relationship between authors and main thematic categories in the field of knowledge organization : a bibliometric approach (2012) 0.02
    0.023747265 = product of:
      0.035620898 = sum of:
        0.007963953 = weight(_text_:a in 824) [ClassicSimilarity], result of:
          0.007963953 = score(doc=824,freq=8.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.15287387 = fieldWeight in 824, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=824)
        0.027656946 = product of:
          0.055313893 = sum of:
            0.055313893 = weight(_text_:de in 824) [ClassicSimilarity], result of:
              0.055313893 = score(doc=824,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.28488597 = fieldWeight in 824, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.046875 = fieldNorm(doc=824)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    This is a study about the relationships between authors and the main thematic categories in the papers published in the last five International ISKO Conferences, held between 2002 and 2010. The aim is to map the domain as ISKO conferences are considered the most representative forum in the field. The published papers are considered to indicate the relationships between authors and themes. The Classification Scheme for Knowledge Organization Literature (CSKOL) was used to categorize the papers. The theoretical and methodological foundations of the study can be found in the concept of domain analysis proposed by Hjørland. The analysis of the papers (n=146) led to the identification of the most productive authors, the networks representing the relationships between the authors as also the categories that constitute the primary areas of research.
    Source
    Categories, contexts and relations in knowledge organization: Proceedings of the Twelfth International ISKO Conference 6-9 August 2012, Mysore, India. Eds.: Neelameghan, A. u. K.S. Raghavan
    Type
    a
  4. Bornmann, L.; Moya Anegón, F. de; Mutz, R.: Do universities or research institutions with a specific subject profile have an advantage or a disadvantage in institutional rankings? (2013) 0.02
    0.023747265 = product of:
      0.035620898 = sum of:
        0.007963953 = weight(_text_:a in 1109) [ClassicSimilarity], result of:
          0.007963953 = score(doc=1109,freq=8.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.15287387 = fieldWeight in 1109, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=1109)
        0.027656946 = product of:
          0.055313893 = sum of:
            0.055313893 = weight(_text_:de in 1109) [ClassicSimilarity], result of:
              0.055313893 = score(doc=1109,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.28488597 = fieldWeight in 1109, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1109)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    Using data compiled for the SCImago Institutions Ranking, we look at whether the subject area type an institution (university or research-focused institution) belongs to (in terms of the fields researched) has an influence on its ranking position. We used latent class analysis to categorize institutions based on their publications in certain subject areas. Even though this categorization does not relate directly to scientific performance, our results show that it exercises an important influence on the outcome of a performance measurement: Certain subject area types of institutions have an advantage in the ranking positions when compared with others. This advantage manifests itself not only when performance is measured with an indicator that is not field-normalized but also for indicators that are field-normalized.
    Type
    a
  5. Rijcke, S. de; Rushforth, A.: To intervene or not to intervene; is that the question? : on the role of scientometrics in research evaluation (2015) 0.02
    0.023747265 = product of:
      0.035620898 = sum of:
        0.007963953 = weight(_text_:a in 2170) [ClassicSimilarity], result of:
          0.007963953 = score(doc=2170,freq=8.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.15287387 = fieldWeight in 2170, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=2170)
        0.027656946 = product of:
          0.055313893 = sum of:
            0.055313893 = weight(_text_:de in 2170) [ClassicSimilarity], result of:
              0.055313893 = score(doc=2170,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.28488597 = fieldWeight in 2170, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2170)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    Recent high-profile statements, criticisms, and boycotts organized against certain quantitative indicators (e.g., the DORA declaration) have brought misuses of performance metrics to the center of attention. A key concern captured in these movements is that the metrics appear to carry authority even where established agents of quality control have explicitly outlined limits to their validity and reliability as measurement tools. This raises a number of challenging questions for those readers of this journal who are implicated in questions of indicator "production" and, by extension, "effects." In this opinion piece we wish to critically engage the question of how producers of indicators can come to terms with their role as (partly) responsible parties in the current age of evaluative bibliometrics. We do so through the illuminating case of the professional scientometrics community.
    Type
    a
  6. Smolinsky, L.; Lercher, A.; McDaniel, A.: Testing theories of preferential attachment in random networks of citations (2015) 0.02
    0.023747265 = product of:
      0.035620898 = sum of:
        0.007963953 = weight(_text_:a in 2216) [ClassicSimilarity], result of:
          0.007963953 = score(doc=2216,freq=8.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.15287387 = fieldWeight in 2216, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=2216)
        0.027656946 = product of:
          0.055313893 = sum of:
            0.055313893 = weight(_text_:de in 2216) [ClassicSimilarity], result of:
              0.055313893 = score(doc=2216,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.28488597 = fieldWeight in 2216, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2216)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    In this article we examine 2 classic stochastic models of the accumulation of citations introduced by H.A. Simon and Derek John de Solla Price. These models each have 2 distinct aspects: growth, which is the introduction of new articles, and preferential attachment, which describes how established articles accumulate new citations. The attachment rules are the subtle portion of these models that supply the interesting explanatory power. Previous treatments included both aspects. Here we separate preferential attachment from the growth aspect of the model. This separation allows us to examine the results of the preferential attachment rules without confounding these with growth in the number of articles available to receive citations. We introduce the method using Markov chains. We show how to overcome the mathematical and computational complexity to obtain results. A comparison of Simon's and Price's rules are computed in 3 Journal Citation Reports subject categories using articles published in the 1960s and allowed to accumulate citations to 1980. This comparison cannot be made through analysis of power laws.
    Type
    a
  7. Hernandez-Garcia, Y.I.; Chamizo, J.A.; Kleiche-Dray, M.; Russell, J.M.: ¬The scientific impact of mexican steroid research 1935-1965 : a bibliometric and historiographic analysis (2016) 0.02
    0.023747265 = product of:
      0.035620898 = sum of:
        0.007963953 = weight(_text_:a in 2901) [ClassicSimilarity], result of:
          0.007963953 = score(doc=2901,freq=8.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.15287387 = fieldWeight in 2901, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=2901)
        0.027656946 = product of:
          0.055313893 = sum of:
            0.055313893 = weight(_text_:de in 2901) [ClassicSimilarity], result of:
              0.055313893 = score(doc=2901,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.28488597 = fieldWeight in 2901, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2901)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    We studied steroid research from 1935 to 1965 that led to the discovery of the contraceptive pill and cortisone. Bibliometric and patent file searches indicate that the Syntex industrial laboratory located in Mexico and the Universidad Nacional Autónoma de México (UNAM) produced about 54% of the relevant papers published in mainstream journals, which in turn generated over 80% of the citations and in the case of Syntex, all industrial patents in the field between 1950 and 1965. This course of events, which was unprecedented at that time in a developing country, was interrupted when Syntex moved its research division to the US, leaving Mexico with a small but productive research group in the chemistry of natural products.
    Type
    a
  8. Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014) 0.02
    0.023402527 = product of:
      0.03510379 = sum of:
        0.010618603 = weight(_text_:a in 1431) [ClassicSimilarity], result of:
          0.010618603 = score(doc=1431,freq=8.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.20383182 = fieldWeight in 1431, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0625 = fieldNorm(doc=1431)
        0.024485188 = product of:
          0.048970375 = sum of:
            0.048970375 = weight(_text_:22 in 1431) [ClassicSimilarity], result of:
              0.048970375 = score(doc=1431,freq=2.0), product of:
                0.15821345 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045180224 = queryNorm
                0.30952093 = fieldWeight in 1431, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=1431)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    Properties of a percentile-based rating scale needed in bibliometrics are formulated. Based on these properties, P100 was recently introduced as a new citation-rank approach (Bornmann, Leydesdorff, & Wang, 2013). In this paper, we conceptualize P100 and propose an improvement which we call P100'. Advantages and disadvantages of citation-rank indicators are noted.
    Date
    22. 8.2014 17:05:18
    Type
    a
  9. De Bellis, N.: Bibliometrics and citation analysis : from the Science citation index to cybermetrics (2008) 0.02
    0.023060096 = product of:
      0.034590144 = sum of:
        0.0026546507 = weight(_text_:a in 3585) [ClassicSimilarity], result of:
          0.0026546507 = score(doc=3585,freq=2.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.050957955 = fieldWeight in 3585, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.03125 = fieldNorm(doc=3585)
        0.031935494 = product of:
          0.06387099 = sum of:
            0.06387099 = weight(_text_:de in 3585) [ClassicSimilarity], result of:
              0.06387099 = score(doc=3585,freq=6.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.328958 = fieldWeight in 3585, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.03125 = fieldNorm(doc=3585)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Footnote
    Rez. in: JASIS 61(2010) no.1, S.205-207 (Jeppe Nicolaisen) Weitere Rez. in: Mitt VÖB 63(2010) H.1/2, S.134-135 (J. Gorraiz u. M. Wieland): "Das Buch entwickelte sich aus einem mehrjährigen Forschungsprojekt mit dem Ziel, den schwer verständlichen quantitativen Kern der Bibliometrie in einem für primär italienische Bibliothekare leichteren historischen und philosophischen Kontext zu vermitteln, wie der Autor im Vorwort erklärt. Dank einer Empfehlung von Eugene Garfield steht dieses Werk nun auch in englischer Übersetzung einer internationalen Leserschaft zur Verfügung. Die über 400 Seiten lange Monografie von de Bellis gibt in acht Kapiteln einen detaillierten und sehr präzisen Überblick über die Bibliometrie und die Zitationsanalyse, ihre Natur und Entwicklung, ihre Kontroverse und Prognose. . . . Das Buch von de Bellis ist sehr empfehlenswert für alle die beabsichtigen, sich mit dieser neuen Wissenschaft zu beschäftigen. Es endet mit folgendem Statement: "Scientometricians have to learn to live in a multidimensional world". Und genau hier liegt die Herausforderung und Schönheit dieses Metiers."
  10. Janssens, F.; Leta, J.; Glänzel, W.; Moor, B. de: Towards mapping library and information science (2006) 0.02
    0.023035955 = product of:
      0.03455393 = sum of:
        0.006896985 = weight(_text_:a in 992) [ClassicSimilarity], result of:
          0.006896985 = score(doc=992,freq=6.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.13239266 = fieldWeight in 992, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=992)
        0.027656946 = product of:
          0.055313893 = sum of:
            0.055313893 = weight(_text_:de in 992) [ClassicSimilarity], result of:
              0.055313893 = score(doc=992,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.28488597 = fieldWeight in 992, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.046875 = fieldNorm(doc=992)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    In an earlier study by the authors, full-text analysis and traditional bibliometric methods were combined to map research papers published in the journal Scientometrics. The main objective was to develop appropriate techniques of full-text analysis and to improve the efficiency of the individual methods in the mapping of science. The number of papers was, however, rather limited. In the present study, we extend the quantitative linguistic part of the previous studies to a set of five journals representing the field of Library and Information Science (LIS). Almost 1000 articles and notes published in the period 2002-2004 have been selected for this exercise. The optimum solution for clustering LIS is found for six clusters. The combination of different mapping techniques, applied to the full text of scientific publications, results in a characteristic tripod pattern. Besides two clusters in bibliometrics, one cluster in information retrieval and one containing general issues, webometrics and patent studies are identified as small but emerging clusters within LIS. The study is concluded with the analysis of cluster representations by the selected journals.
    Type
    a
  11. Wainer, J; Przibisczki de Oliveira, H.; Anido, R.: Patterns of bibliographic references in the ACM published papers (2011) 0.02
    0.023035955 = product of:
      0.03455393 = sum of:
        0.006896985 = weight(_text_:a in 4240) [ClassicSimilarity], result of:
          0.006896985 = score(doc=4240,freq=6.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.13239266 = fieldWeight in 4240, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=4240)
        0.027656946 = product of:
          0.055313893 = sum of:
            0.055313893 = weight(_text_:de in 4240) [ClassicSimilarity], result of:
              0.055313893 = score(doc=4240,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.28488597 = fieldWeight in 4240, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4240)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    This paper analyzes the bibliographic references made by all papers published by ACM in 2006. Both an automatic classification of all references and a human classification of a random sample of them resulted that around 40% of the references are to conference proceedings papers, around 30% are to journal papers, and around 8% are to books. Among the other types of documents, standards and RFC correspond to 3% of the references, technical and other reports correspond to 4%, and other Web references to 3%. Among the documents cited at least 10 times by the 2006 ACM papers, 41% are conferences papers, 37% are books, and 16% are journal papers.
    Type
    a
  12. Leydesdorff, L.; Radicchi, F.; Bornmann, L.; Castellano, C.; Nooy, W. de: Field-normalized impact factors (IFs) : a comparison of rescaling and fractionally counted IFs (2013) 0.02
    0.023035955 = product of:
      0.03455393 = sum of:
        0.006896985 = weight(_text_:a in 1108) [ClassicSimilarity], result of:
          0.006896985 = score(doc=1108,freq=6.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.13239266 = fieldWeight in 1108, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=1108)
        0.027656946 = product of:
          0.055313893 = sum of:
            0.055313893 = weight(_text_:de in 1108) [ClassicSimilarity], result of:
              0.055313893 = score(doc=1108,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.28488597 = fieldWeight in 1108, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1108)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    Two methods for comparing impact factors and citation rates across fields of science are tested against each other using citations to the 3,705 journals in the Science Citation Index 2010 (CD-Rom version of SCI) and the 13 field categories used for the Science and Engineering Indicators of the U.S. National Science Board. We compare (a) normalization by counting citations in proportion to the length of the reference list (1/N of references) with (b) rescaling by dividing citation scores by the arithmetic mean of the citation rate of the cluster. Rescaling is analytical and therefore independent of the quality of the attribution to the sets, whereas fractional counting provides an empirical strategy for normalization among sets (by evaluating the between-group variance). By the fairness test of Radicchi and Castellano (), rescaling outperforms fractional counting of citations for reasons that we consider.
    Type
    a
  13. Jaffe, A.B.; Rassenfosse, G. de: Patent citation data in social science research : overview and best practices (2017) 0.02
    0.023035955 = product of:
      0.03455393 = sum of:
        0.006896985 = weight(_text_:a in 3646) [ClassicSimilarity], result of:
          0.006896985 = score(doc=3646,freq=6.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.13239266 = fieldWeight in 3646, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=3646)
        0.027656946 = product of:
          0.055313893 = sum of:
            0.055313893 = weight(_text_:de in 3646) [ClassicSimilarity], result of:
              0.055313893 = score(doc=3646,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.28488597 = fieldWeight in 3646, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3646)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    The last 2 decades have witnessed a dramatic increase in the use of patent citation data in social science research. Facilitated by digitization of the patent data and increasing computing power, a community of practice has grown up that has developed methods for using these data to: measure attributes of innovations such as impact and originality; to trace flows of knowledge across individuals, institutions and regions; and to map innovation networks. The objective of this article is threefold. First, it takes stock of these main uses. Second, it discusses 4 pitfalls associated with patent citation data, related to office, time and technology, examiner, and strategic effects. Third, it highlights gaps in our understanding and offers directions for future research.
    Type
    a
  14. Jiang, X.; Zhu, X.; Chen, J.: Main path analysis on cyclic citation networks (2020) 0.02
    0.022702038 = product of:
      0.034053057 = sum of:
        0.011005601 = weight(_text_:a in 5813) [ClassicSimilarity], result of:
          0.011005601 = score(doc=5813,freq=22.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.21126054 = fieldWeight in 5813, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5813)
        0.023047457 = product of:
          0.046094913 = sum of:
            0.046094913 = weight(_text_:de in 5813) [ClassicSimilarity], result of:
              0.046094913 = score(doc=5813,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.23740499 = fieldWeight in 5813, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5813)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    Main path analysis is a famous network-based method for understanding the evolution of a scientific domain. Most existing methods have two steps, weighting citation arcs based on search path counting and exploring main paths in a greedy fashion, with the assumption that citation networks are acyclic. The only available proposal that avoids manual cycle removal is to preprint transform a cyclic network to an acyclic counterpart. Through a detailed discussion about the issues concerning this approach, especially deriving the "de-preprinted" main paths for the original network, this article proposes an alternative solution with two-fold contributions. Based on the argument that a publication cannot influence itself through a citation cycle, the SimSPC algorithm is proposed to weight citation arcs by counting simple search paths. A set of algorithms are further proposed for main path exploration and extraction directly from cyclic networks based on a novel data structure main path tree. The experiments on two cyclic citation networks demonstrate the usefulness of the alternative solution. In the meanwhile, experiments show that publications in strongly connected components may sit on the turning points of main path networks, which signifies the necessity of a systematic way of dealing with citation cycles.
    Type
    a
  15. Gómez-Núñez, A.J.; Vargas-Quesada, B.; Moya-Anegón, F. de: Updating the SCImago journal and country rank classification : a new approach using Ward's clustering and alternative combination of citation measures (2016) 0.02
    0.022360591 = product of:
      0.033540886 = sum of:
        0.010493428 = weight(_text_:a in 2499) [ClassicSimilarity], result of:
          0.010493428 = score(doc=2499,freq=20.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.20142901 = fieldWeight in 2499, product of:
              4.472136 = tf(freq=20.0), with freq of:
                20.0 = termFreq=20.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2499)
        0.023047457 = product of:
          0.046094913 = sum of:
            0.046094913 = weight(_text_:de in 2499) [ClassicSimilarity], result of:
              0.046094913 = score(doc=2499,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.23740499 = fieldWeight in 2499, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2499)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    This study introduces a new proposal to refine the classification of the SCImago Journal and Country Rank (SJR) platform by using clustering techniques and an alternative combination of citation measures from an initial 18,891 SJR journal network. Thus, a journal-journal matrix including simultaneously fractionalized values of direct citation, cocitation, and coupling was symmetrized by cosine similarity and later transformed into distances before performing clustering. The results provided a new cluster-based subject structure comprising 290 clusters that emerge by executing Ward's clustering in two phases and using a mixed labeling procedure based on tf-idf scores of the original SJR category tags and significant words extracted from journal titles. In total, 13,716 SJR journals were classified using this new cluster-based scheme. Although more than 5,000 journals were omitted in the classification process, the method produced a consistent classification with a balanced structure of coherent and well-defined clusters, a moderated multiassignment of journals, and a softer concentration of journals over clusters than in the original SJR categories. New subject disciplines such as "nanoscience and nanotechnology" or "social work" were also detected, providing evidence of good performance of our approach in refining the journal classification and updating the subject classification structure.
    Type
    a
  16. Ferrara, E.; Romero, A.E.: Scientific impact evaluation and the effect of self-citations : mitigating the bias by discounting the h-index (2013) 0.02
    0.022192208 = product of:
      0.03328831 = sum of:
        0.0056313644 = weight(_text_:a in 1112) [ClassicSimilarity], result of:
          0.0056313644 = score(doc=1112,freq=4.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.10809815 = fieldWeight in 1112, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=1112)
        0.027656946 = product of:
          0.055313893 = sum of:
            0.055313893 = weight(_text_:de in 1112) [ClassicSimilarity], result of:
              0.055313893 = score(doc=1112,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.28488597 = fieldWeight in 1112, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1112)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    In this article, we propose a measure to assess scientific impact that discounts self-citations and does not require any prior knowledge of their distribution among publications. This index can be applied to both researchers and journals. In particular, we show that it fills the gap of the h-index and similar measures that do not take into account the effect of self-citations for authors or journals impact evaluation. We provide 2 real-world examples: First, we evaluate the research impact of the most productive scholars in computer science (according to DBLP Computer Science Bibliography, Universität Trier, Trier, Germany); then we revisit the impact of the journals ranked in the Computer Science Applications section of the SCImago Journal & Country Rank ranking service (Consejo Superior de Investigaciones Científicas, University of Granada, Extremadura, Madrid, Spain). We observe how self-citations, in many cases, affect the rankings obtained according to different measures (including h-index and ch-index), and show how the proposed measure mitigates this effect.
    Type
    a
  17. Abad-García, M.-F.; González-Teruel, A.; González-Llinares, J.: Effectiveness of OpenAIRE, BASE, Recolecta, and Google Scholar at finding spanish articles in repositories (2018) 0.02
    0.0220016 = product of:
      0.0330024 = sum of:
        0.0099549405 = weight(_text_:a in 4185) [ClassicSimilarity], result of:
          0.0099549405 = score(doc=4185,freq=18.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.19109234 = fieldWeight in 4185, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4185)
        0.023047457 = product of:
          0.046094913 = sum of:
            0.046094913 = weight(_text_:de in 4185) [ClassicSimilarity], result of:
              0.046094913 = score(doc=4185,freq=2.0), product of:
                0.19416152 = queryWeight, product of:
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.045180224 = queryNorm
                0.23740499 = fieldWeight in 4185, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.297489 = idf(docFreq=1634, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4185)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    This paper explores the usefulness of OpenAIRE, BASE, Recolecta, and Google Scholar (GS) for evaluating open access (OA) policies that demand a deposit in a repository. A case study was designed focusing on 762 financed articles with a project of FIS-2012 of the Instituto de Salud Carlos III, the Spanish national health service's main management body for health research. Its finance is therefore subject to the Spanish Government OA mandate. A search was carried out for full-text OA copies of the 762 articles using the four tools being evaluated and with identification of the repository housing these items. Of the 762 articles concerned, 510 OA copies were found of 353 unique articles (46.3%) in 68 repositories. OA copies were found of 81.9% of the articles in PubMed Central and copies of 49.5% of the articles in an institutional repository (IR). BASE and GS identified 93.5% of the articles and OpenAIRE 86.7%. Recolecta identified just 62.2% of the articles deposited in a Spanish IR. BASE achieved the greatest success, by locating copies deposited in IR, while GS found those deposited in disciplinary repositories. None of the tools identified copies of all the articles, so they need to be used in a complementary way when evaluating OA policies.
    Type
    a
  18. Falkingham, L.T.; Reeves, R.: Context analysis : a technique for analysing research in a field, applied to literature on the management of R&D at the section level (1998) 0.02
    0.021869322 = product of:
      0.032803982 = sum of:
        0.011379444 = weight(_text_:a in 3689) [ClassicSimilarity], result of:
          0.011379444 = score(doc=3689,freq=12.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.21843673 = fieldWeight in 3689, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3689)
        0.02142454 = product of:
          0.04284908 = sum of:
            0.04284908 = weight(_text_:22 in 3689) [ClassicSimilarity], result of:
              0.04284908 = score(doc=3689,freq=2.0), product of:
                0.15821345 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045180224 = queryNorm
                0.2708308 = fieldWeight in 3689, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=3689)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    Context analysis is a new method for appraising a body of publications. the process consists of creating a database of attributes assigned to each paper by the reviewer and then looking for interesting relationships in the data. Assigning the attributes requires an understanding of the subject matter of the papers. Presents findings about one particular research field, Management of R&D at the Section Level. The findings support the view that this body of academic publications does not meet the needs of practitioner R&D managers. Discusses practical aspects of how to apply the method in other fields
    Date
    22. 5.1999 19:18:46
    Type
    a
  19. Burrell, Q.L.: Predicting future citation behavior (2003) 0.02
    0.021869322 = product of:
      0.032803982 = sum of:
        0.011379444 = weight(_text_:a in 3837) [ClassicSimilarity], result of:
          0.011379444 = score(doc=3837,freq=12.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.21843673 = fieldWeight in 3837, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3837)
        0.02142454 = product of:
          0.04284908 = sum of:
            0.04284908 = weight(_text_:22 in 3837) [ClassicSimilarity], result of:
              0.04284908 = score(doc=3837,freq=2.0), product of:
                0.15821345 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045180224 = queryNorm
                0.2708308 = fieldWeight in 3837, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=3837)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    In this article we further develop the theory for a stochastic model for the citation process in the presence of obsolescence to predict the future citation pattern of individual papers in a collection. More precisely, we investigate the conditional distribution-and its mean- of the number of citations to a paper after time t, given the number of citations it has received up to time t. In an important parametric case it is shown that the expected number of future citations is a linear function of the current number, this being interpretable as an example of a success-breeds-success phenomenon.
    Date
    29. 3.2003 19:22:48
    Type
    a
  20. Li, T.-C.: Reference sources in periodicals : research note (1995) 0.02
    0.021329116 = product of:
      0.031993672 = sum of:
        0.0075084865 = weight(_text_:a in 5092) [ClassicSimilarity], result of:
          0.0075084865 = score(doc=5092,freq=4.0), product of:
            0.05209492 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.045180224 = queryNorm
            0.14413087 = fieldWeight in 5092, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0625 = fieldNorm(doc=5092)
        0.024485188 = product of:
          0.048970375 = sum of:
            0.048970375 = weight(_text_:22 in 5092) [ClassicSimilarity], result of:
              0.048970375 = score(doc=5092,freq=2.0), product of:
                0.15821345 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.045180224 = queryNorm
                0.30952093 = fieldWeight in 5092, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=5092)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    Presents a list of 53 periodicals in 22 subject fields which regularly provide bibliographies of theses, research in progress and patents in their particular subject field. The fields of business, economics, history and literature have most periodical listings of dissertations and theses. Also lists 63 periodicals in 25 sub-disciplines which provide rankings or ratings. Rankings and ratings information predominates in the fields of business, sports and games, finance and banking, and library and information science
    Type
    a

Languages

Types

  • a 1350
  • el 22
  • m 14
  • s 8
  • r 2
  • x 2
  • b 1
  • More… Less…