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{"title"=>"Seasonal variation in the voluntary food intake of domesticated cats (Felis Catus)", "type"=>"journal", "authors"=>[{"first_name"=>"Samuel", "last_name"=>"Serisier", "scopus_author_id"=>"14030344200"}, {"first_name"=>"Alexandre", "last_name"=>"Feugier", "scopus_author_id"=>"15080557500"}, {"first_name"=>"Sébastien", "last_name"=>"Delmotte", "scopus_author_id"=>"57192303886"}, {"first_name"=>"Vincent", "last_name"=>"Biourge", "scopus_author_id"=>"6701866363"}, {"first_name"=>"Alexander James", "last_name"=>"German", "scopus_author_id"=>"7102914927"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84899753728", "doi"=>"10.1371/journal.pone.0096071", "issn"=>"19326203", "pui"=>"373007691", "pmid"=>"24759851", "scopus"=>"2-s2.0-84899753728"}, "id"=>"9d7ec9e8-64ae-373c-8c43-4e284b9bfb3c", "abstract"=>"There are numerous reports about seasonal cycles on food intake in animals but information is limited in dogs and cats. A 4-year prospective, observational, cohort study was conducted to assess differences in food intake in 38 ad-libitum-fed adult colony cats, of various breeds, ages and genders. Individual food intake was recorded on a daily basis, and the mean daily intake for each calendar month was calculated. These data were compared with climatic data (temperature and daylight length) for the region in the South of France where the study was performed. Data were analysed using both conventional statistical methods and by modelling using artificial neural networks (ANN). Irrespective of year, an effect of month was evident on food intake (P<0.001), with three periods of broadly differing intake. Food intake was least in the summer months (e.g. June, to August), and greatest during the months of late autumn and winter (e.g. October to February), with intermediate intake in the spring (e.g. March to May) and early autumn (e.g. September). A seasonal effect on bodyweight was not recorded. Periods of peak and trough food intake coincided with peaks and troughs in both temperature and daylight length. In conclusion, average food intake in summer is approximately 15% less than food intake during the winter months, and is likely to be due to the effects of outside temperatures and differences in daylight length. This seasonal effect in food intake should be properly considered when estimating daily maintenance energy requirements in cats.", "link"=>"http://www.mendeley.com/research/seasonal-variation-voluntary-food-intake-domesticated-cats-felis-catus", "reader_count"=>18, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Librarian"=>1, "Researcher"=>2, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Student > Master"=>3, "Other"=>2, "Student > Bachelor"=>2, "Lecturer"=>2, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Librarian"=>1, "Researcher"=>2, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Student > Master"=>3, "Other"=>2, "Student > Bachelor"=>2, "Lecturer"=>2, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Environmental Science"=>1, "Medicine and Dentistry"=>4, "Agricultural and Biological Sciences"=>6, "Veterinary Science and Veterinary Medicine"=>3, "Social Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Social Sciences"=>{"Social Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>6}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>1}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>3}}, "reader_count_by_country"=>{"Germany"=>1, "Spain"=>1}, "group_count"=>1}

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• http://doi.org/10.3390/ani9050219
• http://doi.org/10.3389/fendo.2019.00133
• http://doi.org/10.1111/jpn.12930
• http://doi.org/10.3390/ani9060372
• http://doi.org/10.3390/ani5010126

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• {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fplosone%2Farticle%3Fid%3D10.1371%252Fjournal.pone.0096071", "share_count"=>17, "like_count"=>37, "comment_count"=>27, "click_count"=>0, "total_count"=>81}

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• {"id"=>"461425262618374145", "text"=>"#PLOSONE: Seasonal Variation in the Voluntary Food Intake of Domesticated Cats (Felis Catus) http://t.co/6cfAKONpho", "created_at"=>"2014-04-30T08:42:10Z", "user"=>"TimDoherty_", "user_name"=>"Tim Doherty", "user_profile_image"=>"http://pbs.twimg.com/profile_images/452025480661565441/gdxtMHx9_normal.jpeg"}
• {"id"=>"471686824025264128", "text"=>"BREAKING - science finds cats eat more in the winter http://t.co/4XpyxNwCvq", "created_at"=>"2014-05-28T16:17:57Z", "user"=>"peejsmith", "user_name"=>"Peej", "user_profile_image"=>"http://pbs.twimg.com/profile_images/445929866152513537/5hYj_GEh_normal.jpeg"}
• {"id"=>"471686940513685504", "text"=>"RT @peejsmith: BREAKING - science finds cats eat more in the winter http://t.co/4XpyxNwCvq", "created_at"=>"2014-05-28T16:18:24Z", "user"=>"Black_Planner", "user_name"=>"Black-Planner", "user_profile_image"=>"http://pbs.twimg.com/profile_images/454977194867961856/RGfOIoXC_normal.jpeg"}
• {"id"=>"471778619895738368", "text"=>"Useful research to enhance our meaning in life as our kitties' extended phenotypes http://t.co/tjKN3quvR2", "created_at"=>"2014-05-28T22:22:42Z", "user"=>"robsica", "user_name"=>"Rob ", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000802077843/9ed971c36c3f0d9a4951b33a2c20a3c1_normal.jpeg"}
• {"id"=>"472042092546764801", "text"=>"top research: \"Cats eat more in winter and less in summer\" http://t.co/KGkCfJHm4f As studied for FOUR YEARS", "created_at"=>"2014-05-29T15:49:39Z", "user"=>"yourangmlady", "user_name"=>"Michael Parker", "user_profile_image"=>"http://pbs.twimg.com/profile_images/3499707334/7234b21c3a33d550fc6e549ac98adbc3_normal.jpeg"}
• {"id"=>"474189866591211521", "text"=>"Cats eat less during the summer (useful information for regurgitation reduction purposes) h/t @DanGoldbergCNY http://t.co/hc7zKxjuSR", "created_at"=>"2014-06-04T14:04:08Z", "user"=>"danarubinstein", "user_name"=>"Dana Rubinstein", "user_profile_image"=>"http://pbs.twimg.com/profile_images/465194192772149249/0xdxVbf-_normal.jpeg"}
• {"id"=>"474190660724346880", "text"=>"RT @danarubinstein: Cats eat less during the summer (useful information for regurgitation reduction purposes) h/t @DanGoldbergCNY http://t.…", "created_at"=>"2014-06-04T14:07:18Z", "user"=>"NewsFeedNewYork", "user_name"=>"News Feed New York", "user_profile_image"=>"http://pbs.twimg.com/profile_images/419283476714512384/5EKM4K5y_normal.png"}
• {"id"=>"474191104708198400", "text"=>"RT @danarubinstein: Cats eat less during the summer (useful information for regurgitation reduction purposes) h/t @DanGoldbergCNY http://t.…", "created_at"=>"2014-06-04T14:09:04Z", "user"=>"agrenell", "user_name"=>"Alexis Grenell", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1543870637/IMG_1357_normal.jpg"}
• {"id"=>"474212649874755585", "text"=>"RT @danarubinstein: Cats eat less during the summer (useful information for regurgitation reduction purposes) h/t @DanGoldbergCNY http://t.…", "created_at"=>"2014-06-04T15:34:40Z", "user"=>"DanGoldbergCNY", "user_name"=>"Dan Goldberg", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1687780873/me_normal.jpg"}
• {"id"=>"474641911316488192", "text"=>"From our series \"Puzzling science research\": We like cats, we really do. But - was this research truly necessary? \nhttp://t.co/SUA3j0Qs6u", "created_at"=>"2014-06-05T20:00:24Z", "user"=>"NonProfitTalk", "user_name"=>"Anat Gerstein Inc.", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000270204163/f153f0e0fe54f4dc8a4c07d4f91e3a67_normal.png"}

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/1472558"], "description"=>"<p>Results are expressed as median (range). AF = as fed; ME = ¹Measured in animal trials according to the 2010 American Association of Feed Control Officials (AAFCO) protocols <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0096071#pone.0096071-AAFCO1\" target=\"_blank\">[31]</a><a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0096071#pone.0096071-Piaggi1\" target=\"_blank\">[30]</a>.</p>", "links"=>[], "tags"=>["agriculture", "Animal management", "Evolutionary biology", "nutrition", "Veterinary science", "Veterinary informatics", "Veterinary medicine", "Zoology", "Animal behavior", "diets", "palatability", "trials"], "article_id"=>1005790, "categories"=>["Biological Sciences"], "users"=>["Samuel Serisier", "Alexandre Feugier", "Sébastien Delmotte", "Vincent Biourge", "Alexander James German"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0096071.t002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Dietary_composition_of_15_remaining_diets_used_in_palatability_trials_in_the_study_cats_/1005790", "title"=>"Dietary composition of 15% remaining diets used in palatability trials in the study cats.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-04-23 15:27:04"}
• {"files"=>["https://ndownloader.figshare.com/files/1472554"], "description"=>"<p>Open circles and dashed lines represent the measured intake. The thick solid line represents the MLP average, the solid thin line represents the best MLP, Finally, the area shaded in grey represents the 95% CI for the MLP prediction. As the number of neurons was increased, the training performance improved (decreasing MSEt). The best input variables to predict food intake were year, temperature, daylight length, temperature×daylight length and body weight.</p>", "links"=>[], "tags"=>["agriculture", "Animal management", "Evolutionary biology", "nutrition", "Veterinary science", "Veterinary informatics", "Veterinary medicine", "Zoology", "Animal behavior", "4-year", "neural", "multi-layers", "perceptron"], "article_id"=>1005786, "categories"=>["Biological Sciences"], "users"=>["Samuel Serisier", "Alexandre Feugier", "Sébastien Delmotte", "Vincent Biourge", "Alexander James German"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0096071.g003", "stats"=>{"downloads"=>2, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Measured_and_predicted_average_food_intake_over_the_4_year_study_by_using_artificial_neural_network_ANN_so_called_multi_layers_perceptron_MLP_/1005786", "title"=>"Measured and predicted average food intake, over the 4-year study by using artificial neural network (ANN) so-called multi-layers perceptron (MLP).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-23 15:27:04"}
• {"files"=>["https://ndownloader.figshare.com/files/1472557"], "description"=>"<p>ANN MLP, Artificial neural network multi-layers perceptron; MSEt, training mean square error; MSEv, validation mean square error; R², coefficient of determination.</p>", "links"=>[], "tags"=>["agriculture", "Animal management", "Evolutionary biology", "nutrition", "Veterinary science", "Veterinary informatics", "Veterinary medicine", "Zoology", "Animal behavior", "variables", "combinations", "intake", "neural"], "article_id"=>1005789, "categories"=>["Biological Sciences"], "users"=>["Samuel Serisier", "Alexandre Feugier", "Sébastien Delmotte", "Vincent Biourge", "Alexander James German"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0096071.t003", "stats"=>{"downloads"=>2, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_input_variables_combinations_to_predict_food_intake_using_artificial_neural_networks_/1005789", "title"=>"Comparison of input variables combinations to predict food intake using artificial neural networks.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-04-23 15:27:04"}
• {"files"=>["https://ndownloader.figshare.com/files/1472556"], "description"=>"<p>AF, as fed; ME, metabolisable energy. ¹Measured in animal trials according to the 2010 American Association of Feed Control Officials (AAFCO) protocols <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0096071#pone.0096071-AAFCO1\" target=\"_blank\">[31]</a><a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0096071#pone.0096071-Piaggi1\" target=\"_blank\">[30]</a>.</p>", "links"=>[], "tags"=>["agriculture", "Animal management", "Evolutionary biology", "nutrition", "Veterinary science", "Veterinary informatics", "Veterinary medicine", "Zoology", "Animal behavior", "basal"], "article_id"=>1005788, "categories"=>["Biological Sciences"], "users"=>["Samuel Serisier", "Alexandre Feugier", "Sébastien Delmotte", "Vincent Biourge", "Alexander James German"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0096071.t001", "stats"=>{"downloads"=>2, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Dietary_composition_of_the_basal_diet_used_for_the_study_cats_/1005788", "title"=>"Dietary composition of the basal diet used for the study cats.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-04-23 15:27:04"}
• {"files"=>["https://ndownloader.figshare.com/files/1472553"], "description"=>"<p>The curves show mean squared errors in function of the number of hidden neurons for the training (MSEt, black triangles) and the validation phase (MSEv, open circles) of the modelling process. MSEt and MSEv were averaged over the 1000 simulations carried at each level of hidden neurons, with the following predictive variables: year, temperature, daylight length, temperature x daylight length, body weight. As the number of neurons increased, training performance improved (decreasing MSEt), whilst validation performance firstly improved (decreasing MSEv) but then worsened (MSEv increasing) at 8 hidden neurons. Thus, the optimal state was reached at 7 neurons.</p>", "links"=>[], "tags"=>["agriculture", "Animal management", "Evolutionary biology", "nutrition", "Veterinary science", "Veterinary informatics", "Veterinary medicine", "Zoology", "Animal behavior", "multi-layers", "perceptron", "optimal"], "article_id"=>1005785, "categories"=>["Biological Sciences"], "users"=>["Samuel Serisier", "Alexandre Feugier", "Sébastien Delmotte", "Vincent Biourge", "Alexander James German"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0096071.g002", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Determination_of_the_best_multi_layers_perceptron_MLP_architecture_i_e_optimal_number_of_hidden_neurons_/1005785", "title"=>"Determination of the best multi-layers perceptron (MLP) architecture (i.e optimal number of hidden neurons).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-23 15:27:04"}
• {"files"=>["https://ndownloader.figshare.com/files/1472552"], "description"=>"<p>Bodyweight (in kg) is expressed as median (black circles) and range (error bars) kg); daylight length (in min/day) is expressed as mean (open circles) and standard error (error bars) for each month; daily temperature (in Celsius) is expressed as mean (solid line and black circles) and minimum and maximum (dashed lines and open circles above and below the mean line); and food intake (in grams/day) is expressed as mean (white columns) and standard deviation (error bars) intake. Daylight length, temperature and food intake showed a seasonal pattern (<i>P</i><0.001 for all). In contrast no seasonal pattern was observed for body weight, which increased steadily during the course of the study.</p>", "links"=>[], "tags"=>["agriculture", "Animal management", "Evolutionary biology", "nutrition", "Veterinary science", "Veterinary informatics", "Veterinary medicine", "Zoology", "Animal behavior", "ambient", "daylight", "physiological", "intake"], "article_id"=>1005784, "categories"=>["Biological Sciences"], "users"=>["Samuel Serisier", "Alexandre Feugier", "Sébastien Delmotte", "Vincent Biourge", "Alexander James German"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0096071.g001", "stats"=>{"downloads"=>2, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Environmental_e_g_ambient_temperature_and_daylight_length_and_physiological_e_g_body_weight_and_food_intake_from_the_study_cats_parameters_during_the_course_of_the_study_/1005784", "title"=>"Environmental (e.g. ambient temperature and daylight length) and physiological (e.g. body weight and food intake from the study cats) parameters during the course of the study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-04-23 15:27:04"}
• {"files"=>["https://ndownloader.figshare.com/files/1472559"], "description"=>"<div><p>There are numerous reports about seasonal cycles on food intake in animals but information is limited in dogs and cats. A 4-year prospective, observational, cohort study was conducted to assess differences in food intake in 38 <i>ad-libitum</i>-fed adult colony cats, of various breeds, ages and genders. Individual food intake was recorded on a daily basis, and the mean daily intake for each calendar month was calculated. These data were compared with climatic data (temperature and daylight length) for the region in the South of France where the study was performed. Data were analysed using both conventional statistical methods and by modelling using artificial neural networks (ANN). Irrespective of year, an effect of month was evident on food intake (<i>P</i><0.001), with three periods of broadly differing intake. Food intake was least in the summer months (e.g. June, to August), and greatest during the months of late autumn and winter (e.g. October to February), with intermediate intake in the spring (e.g. March to May) and early autumn (e.g. September). A seasonal effect on bodyweight was not recorded. Periods of peak and trough food intake coincided with peaks and troughs in both temperature and daylight length. In conclusion, average food intake in summer is approximately 15% less than food intake during the winter months, and is likely to be due to the effects of outside temperatures and differences in daylight length. This seasonal effect in food intake should be properly considered when estimating daily maintenance energy requirements in cats.</p></div>", "links"=>[], "tags"=>["agriculture", "Animal management", "Evolutionary biology", "nutrition", "Veterinary science", "Veterinary informatics", "Veterinary medicine", "Zoology", "Animal behavior", "seasonal", "intake", "domesticated", "cats"], "article_id"=>1005791, "categories"=>["Biological Sciences"], "users"=>["Samuel Serisier", "Alexandre Feugier", "Sébastien Delmotte", "Vincent Biourge", "Alexander James German"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0096071", "stats"=>{"downloads"=>2, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Seasonal_Variation_in_the_Voluntary_Food_Intake_of_Domesticated_Cats_Felis_Catus_/1005791", "title"=>"Seasonal Variation in the Voluntary Food Intake of Domesticated Cats (<i>Felis Catus</i>)", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-04-23 15:27:04"}

PMC Usage Stats | Further Information

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Relative Metric

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F1000Prime