186,245 research outputs found
Importanza del fattore meccanico nel determismo delle lesioni renali in animali sottoposti ad incannulamento dell'arteria renale
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TOBACCO SMOKE AND RISK OF CHILDHOOD LEUKAEMIA: FINDINGS FROM THE SETIL CASE-CONTROL STUDY
No full textIntroduction. Tobacco smoke could cause childhood leukaemia through at least two different pathways: 1) prenatal parental smoking; 2) childhood exposure to environmental tobacco smoke (ETS). Objectives. To explore these two possible risk factors for acute lymphoblastic leukaemia (ALL) and acute myeloid leukaemia (AML), we analyzed data collected in a large case control study (SETIL) primarily designed to evaluate the role of electromagnetic fields in childhood haematopoietic malignancies. Methods.We focused on incident cases (with informed consent) of ALL (n=602) and AML (n=83) in 14 Italian Regions during 1998- 2001, individually matched (2:1) by age, sex and Region with controls randomly drawn from the general population (matching was broken in the present analysis). We conducted separate logistic regressions for ALL and AML, conditioned to Region and adjusted for child age and sex. Results. Analysis of AML data showed a 3-way interaction (p=0.003) between paternal preconception smoking, maternal smoking during pregnancy, and maternal age. Remarkably, heavy smokers (>10 cigarettes/day) appeared to be at raised risk of having a child affected by childhood AML when maternal age was =1 cigarette/day) to ETS (OR 1.5; 95%CI 1.1-2.0; reference, never exposed); intriguingly, risk appeared more pronounced (OR 2.5; 95%CI 1.4-4.4) in “late-onset” cases (age >=6 years). No association was detected with prenatal exposure. Conclusion.We hypothesize that young maternal age could modulate risks of childhood AML determined by parental smoking (plausibly due to age-related metabolic differences). This study also supports the concept that childhood exposure to ETS could be a risk factor for ALL
SETIL STUDY (ITALIAN EPIDEMIOLOGICAL STUDY ON THE AETIOLOGY OF CHILDHOOD LEUKEMIA, LYMPHOMA AND NEUROBLASTOMA): RISK OF CHILDHOOD CANCERS IN RELATION TO PARENTAL OCCUPATIONAL EXPOSURE
No full textAuthor-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
TOBACCO SMOKE AND RISK OF CHILDHOOD LEUKAEMIA: FINDINGS FROM THE SETIL CASE-CONTROL STUDY
No full textIntroduction. Tobacco smoke could cause childhood leukaemia through at least two different pathways: 1) prenatal parental smoking; 2) childhood exposure to environmental tobacco smoke (ETS). Objectives. To explore these two possible risk factors for acute lymphoblastic leukaemia (ALL) and acute myeloid leukaemia (AML), we analyzed data collected in a large case control study (SETIL) primarily designed to evaluate the role of electromagnetic fields in childhood haematopoietic malignancies. Methods.We focused on incident cases (with informed consent) of ALL (n=602) and AML (n=83) in 14 Italian Regions during 1998- 2001, individually matched (2:1) by age, sex and Region with controls randomly drawn from the general population (matching was broken in the present analysis). We conducted separate logistic regressions for ALL and AML, conditioned to Region and adjusted for child age and sex. Results. Analysis of AML data showed a 3-way interaction (p=0.003) between paternal preconception smoking, maternal smoking during pregnancy, and maternal age. Remarkably, heavy smokers (>10 cigarettes/day) appeared to be at raised risk of having a child affected by childhood AML when maternal age was <30 years (OR 5.4; 95%CI 1.6-18.2; reference category, never-smoker parents); we were unable to find any sign of smoking-related risk above this cut-off (based on median maternal age). No clear association emerged for ETS. Analysis of ALL data showed raised risk for children regularly exposed (>=1 cigarette/day) to ETS (OR 1.5; 95%CI 1.1-2.0; reference, never exposed); intriguingly, risk appeared more pronounced (OR 2.5; 95%CI 1.4-4.4) in “late-onset” cases (age >=6 years). No association was detected with prenatal exposure. Conclusion.We hypothesize that young maternal age could modulate risks of childhood AML determined by parental smoking (plausibly due to age-related metabolic differences). This study also supports the concept that childhood exposure to ETS could be a risk factor for ALL
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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