191,147 research outputs found
Ecriture au feminin par procuration : Pierre de patience d'Atiq Rahimi
The author proposes a feminist interpretation of Pierre de patience, a novel by the afghan francophone writer Atiq Rahimi. He sees it as a francophone text come from elsewhere, as world literature, but also as a message and hope for our time and for gender equality
APPF TPA phenotyping dataset: UA ACPFG (Haefele, Rahimi) - Wheat
Images and data from wheat phenotyping studies performed at the APPF Plant Accelerator (TPA), University of Adelaide, on behalf of UA ACPFG (Haefele, Rahimi) ending 2016-09-12</p
APPF TPA phenotyping dataset: UA ACPFG (Haefele, Rahimi) - Wheat
Images and data from wheat phenotyping studies performed at the APPF Plant Accelerator (TPA), University of Adelaide, on behalf of UA ACPFG (Haefele, Rahimi) ending 2016-10-28</p
Cardiovascular disease and multimorbidity: A call for interdisciplinary research and personalized cardiovascular care.
In a Guest Editorial, Kazem Rahimi, Carolyn Lam, and Steven Steinhubl call for interdisciplinary research and personalized cardiovascular care to better manage patients with cardiovascular disease and multimorbidity
Supplemental Material, sj-pdf-1-brn-10.1177_10998004211044754 - Effects of Lifestyle Intervention on Inflammatory Markers and Waist Circumference in Overweight/Obese Adults With Metabolic Syndrome: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Supplemental Material, sj-pdf-1-brn-10.1177_10998004211044754 for Effects of Lifestyle Intervention on Inflammatory Markers and Waist Circumference in Overweight/Obese Adults With Metabolic Syndrome: A Systematic Review and Meta-Analysis of Randomized Controlled Trials by Gholam Rasul Mohammad Rahimi, Heidar Alizaei Yousefabadi, Arghavan Niyazi, Nasser Mohammad Rahimi and Yaser Alikhajeh in Biological Research For Nursing</p
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Data for: Gender-related relation between metabolic syndrome and S447X and HindIII polymorphisms of lipoprotein lipase gene in northern Iran
polymorphism of LPL GEN
Appropriate Similarity Measures for Author Cocitation Analysis
We 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
- …
