| 1. |
- Ahlgren, Per, 1960-, et al.
(författare)
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A bibliometric analysis of battery research with the BATTERY 2030+ roadmap as point of departure
- 2022
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- In this bibliometric study, we analyze the six battery research subfields identified in the BATTERY 2030+ roadmap: Battery Interface Genome, Materials Acceleration Platform, Recyclability, Smart functionalities: Self-healing, Smart functionalities: Sensing, and Manufacturability. In addition, we analyze the entire research field related to BATTERY 2030+ as a whole, using two operationalizations. We (a) evaluate the European standing in the subfields/the BATTERY 2030+ field in comparison to the rest of the world, and (b) identify strongholds of the subfields/the BATTERY 2030+ field across Europe. For each subfield and the field as a whole, we used seed articles, i.e. articles listed in the BATTERY 2030+ roadmap or cited by such articles, in order to generate additional, similar articles located in an algorithmically obtained classification system. The output of the analysis is publication volumes, field normalized citation impact values with comparisons between country/country aggregates and between organizations, co-publishing networks between countries and organizations, and keyword co-occurrence networks. For the results related to (a), the performance of EU & associated (countries) is similar to China and the aggregate Japan-South Korea-Singapore and well below North America regarding citation impact and with respect to the field as a whole. Exceptions are, however, the subfields Battery Interface Genome and Recyclability. For the results related to (b), there is a large variability in the EU & associated organizations regarding volume in the different subfields. For citation impact, examples of high-performing EU & associated organizations are ETH Zurich and Max Planck Society for the Advancement of Science.
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| 2. |
- Ahlgren, Per, 1960-, et al.
(författare)
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BATTERY 2030+ and its Research Roadmap : A Bibliometric Analysis.
- 2023
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Ingår i: ChemSusChem. - : Wiley. - 1864-5631 .- 1864-564X. ; 16:21
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Tidskriftsartikel (refereegranskat)abstract
- In this bibliometric study, we analyze two of the six battery research subfields identified in the BATTERY 2030+ roadmap: Materials Acceleration Platform and Smart functionalities: Sensing. In addition, we analyze the entire research field related to BATTERY 2030+ as a whole. We (a) evaluate the European standing in the two subfields/the BATTERY 2030+ field in comparison to the rest of the world, and (b) identify strongholds of the two subfields/the BATTERY 2030+ field across Europe. For each subfield and the field as a whole, we used seed articles, i. e. articles listed in the BATTERY 2030+ roadmap or cited by such articles, in order to generate additional, similar articles located in an algorithmically obtained classification system. The output of the analysis is publication volumes, field normalized citation impact values with comparisons between country/country aggregates and between organizations, co-publishing networks between countries and organizations, and keyword co-occurrence networks.
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| 5. |
- Ding, Jielan, et al.
(författare)
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The link between ethnic diversity and scientific impact : the mediating effect of novelty and audience diversity
- 2021
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Ingår i: Scientometrics. - : Springer Nature. - 0138-9130 .- 1588-2861. ; 126:9, s. 7759-7810
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Tidskriftsartikel (refereegranskat)abstract
- Understanding the nature and value of scientific collaboration is essential for sound management and proactive research policies. One component of collaboration is the composition and diversity of contributing authors. This study explores how ethnic diversity in scientific collaboration affects scientific impact, by presenting a conceptual model to connect ethnic diversity, based on author names, with scientific impact, assuming novelty and audience diversity as mediators. The model also controls for affiliated country diversity and affiliated country size. Using path modeling, we apply the model to the Web of Science subject categories Nanoscience & Nanotechnology, Ecology and Information Science & Library. For all three subject categories, and regardless of if control variables are considered or not, we find a weak positive relationship between ethnic diversity and scientific impact. The relationship is weaker, however, when control variables are included. For all three fields, the mediated effect through audience diversity is substantially stronger than the mediated effect through novelty in the relationship, and the former effect is much stronger than the direct effect between the ethnic diversity and scientific impact. Our findings further suggest that ethnic diversity is more associated with short-term scientific impact compared to long-term scientific impact.
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| 6. |
- Pärt, Tomas, et al.
(författare)
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Unclear relationships between mean survival rate and its environmental variance in vertebrates
- 2024
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Ingår i: Ecology and Evolution. - : Wiley. - 2045-7758. ; 14:3
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Tidskriftsartikel (refereegranskat)abstract
- Current environmental changes may increase temporal variability of life history traits of species thus affecting their long-term population growth rate and extinction risk. If there is a general relationship between environmental variances (EVs) and mean annual survival rates of species, that relationship could be used as a guideline for analyses of population growth and extinction risk for populations, where data on EVs are missing. For this purpose, we present a comprehensive compilation of 252 EV estimates from 89 species belonging to five vertebrate taxa (birds, mammals, reptiles, amphibians and fish) covering mean annual survival rates from 0.01 to 0.98. Since variances of survival rates are constrained by their means, particularly for low and high mean survival rates, we assessed whether any observed relationship persisted after applying two types of commonly used variance stabilizing transformations: relativized EVs (observed/mathematical maximum) and logit-scaled EVs. With raw EVs at the arithmetic scale, mean–variance relationships of annual survival rates were hump-shaped with small EVs at low and high mean survival rates and higher (and widely variable) EVs at intermediate mean survival rates. When mean annual survival rates were related to relativized EVs the hump-shaped pattern was less distinct than for raw EVs. When transforming EVs to logit scale the relationship between mean annual survival rates and EVs largely disappeared. The within-species juvenile-adult slopes were mainly positive at low (<0.5) and negative at high (>0.5) mean survival rates for raw and relativized variances while these patterns disappeared when EVs were logit transformed. Uncertainties in how to interpret the results of relativized and logit-scaled EVs, and the observed high variation in EV's for similar mean annual survival rates illustrates that extrapolations of observed EVs and tests of life history drivers of survival–EV relationships need to also acknowledge the large variation in these parameters.
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| 7. |
- Wang, Qi, et al.
(författare)
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A bibliometric strategy for identifying benchmark research units
- 2021
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Ingår i: 18<sup>th</sup> International Conference on Scientometrics and Informetrics” (ISSI2021). - : INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI. ; , s. 1229-1234
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Konferensbidrag (refereegranskat)abstract
- While normalized bibliometric indicators are expected to resolve the subject-field differences between organizations in research evaluations, size still matters. Furthermore, research organizations, policymakers and research funding providers tend to use benchmark units as points of comparison for a given research center in order to understand and monitor its development and performance. In addition to monitoring and evaluations, the identification of comparable benchmark organizations can also be used to pinpoint potential collaboration partners or competitors. Therefore, methods to identify benchmark research units are of practical significance. However, few studies have investigated this problem. This study aims to propose a bibliometric method to identify benchmarks. We define a benchmark as a well-connected research environment, in which researchers work on similar topics and publish a similar number of publications compared to a given research center during the same period. Three essential attributes for the evaluation of benchmarks are research topics, output, and coherence. We apply this strategy to a Swedish research center, and examine the effectiveness of the method.
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| 8. |
- Wang, Qi, et al.
(författare)
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Identifying benchmark units for research management and evaluation
- 2022
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Ingår i: Scientometrics. - : Springer Berlin/Heidelberg. - 0138-9130 .- 1588-2861. ; 127:12, s. 7557-7574
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Tidskriftsartikel (refereegranskat)abstract
- While normalized bibliometric indicators are expected to resolve the subject-field differences between organizations in research evaluations, the identification of reference organizations working on similar researchtopics is still of importance. Research organizations, policymakers and research funders tend to use benchmark units as points of comparison for a certain research unit in order to understand and monitor its development and performance. In addition, benchmarkorganizations can also be used to pinpoint potential collaboration partners or competitors. Therefore, methods for identifying benchmark research units are of practical significance. Even so, few studies have further explored this problem. This study aims to propose a bibliometric approach for the identification of benchmark units. We define an appropriate benchmark as a well-connected research environment, in which researchers investigate similar topics and publish a similar number of publications compared to a given research organization during the same period. Four essential attributes for the evaluation of benchmarks are research topics, output, connectedness, and scientific impact. We apply this strategy to two research organizations in Sweden and examine the effectiveness of the proposed method. Identified benchmark units are evaluated by examining the research similarity and the robustness of various measures of connectivity.
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