Literature DB >> 31589651

Correction: Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency.

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Abstract

[This corrects the article DOI: 10.1371/journal.pone.0216030.].

Entities:  

Year:  2019        PMID: 31589651      PMCID: PMC6779230          DOI: 10.1371/journal.pone.0223740

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


In the Author Contributions, Poramate Manoonpong (PM) should be listed as one of the persons who acquired funding. There is an error in affiliation 1 for author Krisna Rungruangsak-Torrissen. The correct affiliation 1 is: Institute of Marine Research, Ecosystem Processes Research Group, Matre Research Station, Matredal, Norway. The publisher apologizes for the error. There are errors in references 1, 2, and 3, The correct reference 1 is: Rungruangsak-Torrissen K. Trypsin and its implementations for growth, maturation, and dietary quality assessment. In: Weaver K, Kelley C, editors. Trypsin: Structure, Biosynthesis and Functions. New York: Nova Science Publishers Inc; 2012. pp. 1–59. http://www.novapublishers.org/catalog/product_info.php?products_id=38114 The correct reference 2 is: Rungruangsak-Torrissen K. Atlantic Salmon, Salmo salar L.: Genetic Variations in Protein Metabolism and Growth. In: Woo PTK, Noakes DJ, editors. Salmon: Biology, Ecological Impacts and Economical Importance. New York: Nova Science Publishers Inc; 2014. pp. 85–120. https://novapublishers.com/wp-content/uploads/2019/05/978-1-63117-570-1_ch6.pdf The correct reference 3 is: Rungruangsak-Torrissen K. Atlantic Salmon, Salmo salar L.: Food Utilization, Protein Growth Efficiency and Maturation. In: Woo PTK, Noakes DJ, editors. Salmon: Biology, Ecological Impacts and Economical Importance. New York: Nova Science Publishers Inc; 2014. pp. 121–154. https://novapublishers.com/wp-content/uploads/2019/05/978-1-63117-570-1_ch7.pdf. The publisher apologizes for the errors.
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1.  Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency.

Authors:  Krisna Rungruangsak-Torrissen; Poramate Manoonpong
Journal:  PLoS One       Date:  2019-08-28       Impact factor: 3.240

  1 in total

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