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levels. Stronger correlation means easier use for predicting productivity. A series of boxplots shows the NDVI and elevation values of distinguished classes. Width of boxes indicates number of cases in the class. Results and Discussion As

Open access
Acta Alimentaria
Authors:
V. László
,
D. Szakos
,
V. Csizmadiáné Czuppon
, and
Gy. Kasza

between the trust levels were analysed with basic descriptive statistical methods and illustrated with box-plot diagrams. 3 Results and discussion 3.1 Different trust elements and differences between them Based on the validated consumer trust toolkit by

Open access

Bevezetés: A magzati orrcsonthosszúság és a praenasalis lágyrészvastagság mérése a Down-szindróma ultrahangszűrésére kidolgozott módszer. Célkitűzés: A szerzők célja az orrcsonthossz és praenasalis lágyrészvastagság méréseinek értékeléséhez szükséges helyi normogram létrehozása, illetve a legmegfelelőbb statisztikai módszer kiválasztása. Módszer: Euploid (n = 1500) és 21-es triszómiás (n = 10) magzatokban végezték a vizsgálatot 2008. április és 2013. december között. Az orrcsonthossz és praenasalis lágyrészvastagság-mérést a Medisono Anyai és Magzati Egészségközpontban, a citogenetikai vizsgálatot a Szegedi Tudományegyetem Orvosi Genetikai Intézetében végezték. Normogramokat készítettek különböző számú magzatokon (n = 100, 300, 500, 750, 1000 és 1500) 3 különböző statisztikai analízissel (box-plot analízis, lineárisregresszió- és szigmoidregresszió-elemzés). Eredmények: Eredményeik alapján a megbízható normogramok készítéséhez legalább 1000 gravida mérési adatára van szükség. A nagyobb esetszám előnyösen javította a normogram hatékonyságát mindhárom statisztikai módszer esetén. A napi rutinban a box-plot analízis jónak és használata egyszerűbbnek bizonyult. A legjobb szűrési eredmény érdekében a magas szintű szűrés helyi lineáris normogramot igényel. Következtetések: A normogram validálása alapján box-plot analízis ajánlott a mindennapi gyakorlatban, de regresszióalapú normogramok szükségesek a magas szintű praenatalis szűréshez. Orv. Hetil., 2014, 155(47), 1876–1881.

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Abstract  

The Science Citation Index, Journal Citation Reports (JCR), published by the Institute for Scientific Information (ISI) and designed to rank, evaluate, categorize and compare journals, is used in a wide scientific context as a tool for evaluating researchers and research work, through the use of just one of its indicators, the impact factor. With the aim of obtaining an overall and synthetic perspective of impact factor values, we studied the frequency distributions of this indicator using the box-plot method. Using this method we divided the journals listed in the JCR into five groups (low, lower central, upper central, high and extreme). These groups position the journal in relation to its competitors. Thus, the group designated as extreme contains the journals with high impact factors which are deemed to be prestigious by the scientific community. We used the JCR data from 1996 to determine these groups, firstly for all subject categories combined (all 4779 journals) and then for each of the 183 ISI subject categories. We then substituted the indicator value for each journal by the name of the group in which it was classified. The journal group may differ from one subject category to another. In this article, we present a guide for evaluating journals constructed as described above. It provides a comprehensive and synthetic view of two of the most used sections of the JCR. It makes it possible to make more accurate and complete judgements on and through the journals, and avoids an oversimplified view of the complex reality of the world of journals. It immediately reveals the scientific subject category where the journal is best positioned. Also, whereas it used to be difficult to make intra- and interdisciplinary comparisons, this is now possible without having to consult the different sections of the JCR. We construct this guide each year using indicators published in the JCR by the ISI.

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) ( Figs 8 and 9 ). Fig. 8. Boxplots representing the tonal movements to the stressed syllables (extreme outliers, < Q1 − 3 * IQR and > Q3 + 3 * IQR, were removed from the plot). Mann-Whitney U

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= 0.001 ( Fig. 2A ). The healthy controls had more than 2 times higher levels of nCD16 than patients with cIAIs before surgery: 98.8 (87.5–116) MFI vs. 44.25 (29.58–73.33) MFI, P < 0.0001 ( Fig. 2B ). Fig. 2. Box-plot and dot-plot of nCD16: (A

Open access
Acta Veterinaria Hungarica
Authors:
Csaba Attila Kósa
,
Krisztina Nagy
,
Ottó Szenci
,
Boglárka Baska-Vincze
,
Emese Andrásofszky
,
Róbert Szép
,
Ágnes Keresztesi
,
Mircea Mircean
,
Marian Taulescu
, and
Orsolya Kutasi

. Fig. 1. Boxplot showing serum selenium levels in affected horses from high villages (HV), non-affected horses from HV and horses from valley villages (VV

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percent change of the first unstimulated hippocampus sample on the membrane. The box-plot graphs represent the median and 1st and 3rd quarters of each group ( n = 6) and include P values from the Mann Whitney U test. F : Representative blots of total

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Acta Veterinaria Hungarica
Authors:
Theodora K. Tsouloufi
,
Petros S. Frezoulis
,
Nectarios Soubasis
,
Maria Kritsepi-Konstantinou
, and
Ioannis L. Oikonomidis

. Boxplots of the neutrophil-to-lymphocyte ratio (NLR) (A) and lymphocyte-to-monocyte ratio (LMR) (B) values of 219 cats presented to the internal medicine unit of a small animal teaching hospital between 2009 and 2013. The respective boxes represent the main

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and amyloid A concentration levels of animals with traumatic reticuloperitonitis compared to those of the control group. A) Boxplot of the serum calprotectin levels. Circles indicate outliers. B) Boxplot of the serum amyloid A levels. Haematological

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