Comparing the Reputation of Researchers Using a Profile Model and Scientific Metrics

Author(s):  
Cristiano R. Cervi ◽  
Renata Galante ◽  
Jose Palazzo M. de Oliveira
Keyword(s):  
2021 ◽  
Vol 80 (OCE1) ◽  
Author(s):  
J.E. Cade ◽  
J. Hutchinson ◽  
H. Rippin ◽  
D. Threapleton ◽  
A. Morpeth ◽  
...  

2004 ◽  
Vol 101 (29) ◽  
pp. 10523-10528 ◽  
Author(s):  
E. P. Xing ◽  
R. M. Karp
Keyword(s):  

2003 ◽  
Vol 20 (1-2) ◽  
pp. 149-163 ◽  
Author(s):  
J Holmqvist ◽  
A.F Øgaard ◽  
I Öborn ◽  
A.C Edwards ◽  
L Mattsson ◽  
...  

1993 ◽  
Vol 8 (3) ◽  
pp. 86-90
Author(s):  
John C. Byrne

Abstract A new variable-form segmented stem profile model is developed for lodgepole pine (Pinus contorta) trees from the northern Rocky Mountains of the United States. I improved estimates of stem diameter by predicting two of the model coefficients with linear equations using a measure of tree form, defined as a ratio of dbh and total height. Additional improvements were obtained by fitting this model to individual national forest data sets. Other tree and environmental variables tested but found of little use in improving stem profile estimates were crown ratio, habitat series, elevation, slope percent, and aspect. West. J. Appl. For. 8(3):86-90.


2002 ◽  
Vol 66 (4) ◽  
pp. 325-335 ◽  
Author(s):  
A. M. Bernabeu ◽  
R. Medina ◽  
C. Vidal

1989 ◽  
Vol 19 (4) ◽  
pp. 522-524 ◽  
Author(s):  
R. L. Czaplewski

When a stem-profile model is being built, a scatterplot of the empirical rate of change in diameter with respect to height provides useful information. It can indicate changes in stem taper, which provide tentative estimates for join points in segmented profile models. It can also help identify the desired form for profile models.


2018 ◽  
Vol 21 (8) ◽  
pp. 1409-1417 ◽  
Author(s):  
Suladda Pongutta ◽  
Pitipa Chongwatpol ◽  
Parwin Tantayapirak ◽  
Stefanie Vandevijvere

AbstractObjectiveThe present study assessed the nutrition information displayed on ready-to-eat packaged foods and the nutritional quality of those food products in Thailand.DesignIn March 2015, the nutrition information panels and nutrition and health claims on ready-to-eat packaged foods were collected from the biggest store of each of the twelve major retailers, using protocols developed by the International Network for Food and Obesity/Non-communicable Diseases Research, Monitoring and Action Support (INFORMAS). The Thai Nutrient Profile Model was used to classify food products according to their nutritional quality as ‘healthier’ or ‘less healthy’.ResultsIn total, information from 7205 food products was collected across five broad food categories. Out of those products, 5707 (79·2 %), 2536 (35·2 %) and 1487 (20·6 %) carried a nutrition facts panel, a Guideline Daily Amount (GDA) label and health-related claims, respectively. Only 4691 (65·1 %) and 2484 (34·5 %) of the products that displayed the nutrition facts or a GDA label, respectively, followed the guidelines of the Thai Food and Drug Administration. In total, 4689 products (65·1 %) could be classified according to the Thai Nutrient Profile Model, of which 432 products (9·2 %) were classified as healthier. Moreover, among the 1487 products carrying health-related claims, 1219 (82·0 %) were classified as less healthy. Allowing less healthy food products to carry claims could mislead consumers and result in overconsumption of ready-to-eat food products.ConclusionsThe findings suggest effective policies should be implemented to increase the relative availability of healthier ready-to-eat packaged foods, as well as to improve the provision of nutrition information on labels in Thailand.


Sign in / Sign up

Export Citation Format

Share Document