Search (4 results, page 1 of 1)

0.06042823 = product of:
  0.12085646 = sum of:
    0.12085646 = product of:
      0.24171291 = sum of:
        0.24171291 = weight(_text_:assessment in 2212) [ClassicSimilarity], result of:
          0.24171291 = score(doc=2212,freq=16.0), product of:
            0.2801951 = queryWeight, product of:
              5.52102 = idf(docFreq=480, maxDocs=44218)
              0.050750602 = queryNorm
            0.86265934 = fieldWeight in 2212, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              5.52102 = idf(docFreq=480, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2212)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This article introduces the Multidimensional Research Assessment Matrix of scientific output. Its base notion holds that the choice of metrics to be applied in a research assessment process depends on the unit of assessment, the research dimension to be assessed, and the purposes and policy context of the assessment. An indicator may by highly useful within one assessment process, but less so in another. For instance, publication counts are useful tools to help discriminate between those staff members who are research active, and those who are not, but are of little value if active scientists are to be compared with one another according to their research performance. This paper gives a systematic account of the potential usefulness and limitations of a set of 10 important metrics, including altmetrics, applied at the level of individual articles, individual researchers, research groups, and institutions. It presents a typology of research impact dimensions and indicates which metrics are the most appropriate to measure each dimension. It introduces the concept of a "meta-analysis" of the units under assessment in which metrics are not used as tools to evaluate individual units, but to reach policy inferences regarding the objectives and general setup of an assessment process.

0.025637524 = product of:
  0.05127505 = sum of:
    0.05127505 = product of:
      0.1025501 = sum of:
        0.1025501 = weight(_text_:assessment in 3376) [ClassicSimilarity], result of:
          0.1025501 = score(doc=3376,freq=2.0), product of:
            0.2801951 = queryWeight, product of:
              5.52102 = idf(docFreq=480, maxDocs=44218)
              0.050750602 = queryNorm
            0.36599535 = fieldWeight in 3376, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.52102 = idf(docFreq=480, maxDocs=44218)
              0.046875 = fieldNorm(doc=3376)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

0.025637524 = product of:
  0.05127505 = sum of:
    0.05127505 = product of:
      0.1025501 = sum of:
        0.1025501 = weight(_text_:assessment in 2941) [ClassicSimilarity], result of:
          0.1025501 = score(doc=2941,freq=2.0), product of:
            0.2801951 = queryWeight, product of:
              5.52102 = idf(docFreq=480, maxDocs=44218)
              0.050750602 = queryNorm
            0.36599535 = fieldWeight in 2941, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.52102 = idf(docFreq=480, maxDocs=44218)
              0.046875 = fieldNorm(doc=2941)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The general aim of the article is to demonstrate how the results both of a structural analysis, and of a research performance assessment of a research field, can be enriched by combining elements of both into one integrated analysis. In addition, a procedure is discussed to select and analyse candidate benchmark institutes to assess the position of a particular resrach institute, in terms of both its cognitive orientation and its scientific production and impact at the international research front. The combined method is applied in an evaluation of the research scope and performance of the Interuniversity Centre for Micro-Electronics (IMEC) in Leuven, Belgium. On the basis of the comments of an international panel of experts in micro-electronics, the method was discussed in detail. We concluded that the method provides a detailed and useful picture of the position of the institute from an international perspective. Moreover, we found that the results of each of the 2 parts are an added value to the other

0.0085950075 = product of:
  0.017190015 = sum of:
    0.017190015 = product of:
      0.03438003 = sum of:
        0.03438003 = weight(_text_:22 in 2646) [ClassicSimilarity], result of:
          0.03438003 = score(doc=2646,freq=2.0), product of:
            0.17771997 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.050750602 = queryNorm
            0.19345059 = fieldWeight in 2646, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2646)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date

22. 1.2016 14:11:17