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Downloads and views - Time Series

Number of downloads and views in the period.

Period:
Total Year Month Day

Item Handle
(eg. 1822/417)
 

Item
Title : Aprendizado de máquina para predição da qualidade nutricional de forrageiras.
Entry Date : 27-10-2021
Downloads and viewsExport
Year Downloads Views
2021 11.0 24
2022 21.0 80
2023 18.0 116
2024 60.0 185
2025 78.0 259
188.0 664
Downloads and views per year
Downloads by country (top 10)
Views by country (top 10)
Downloads by countryExport
Origin Downloads Perc.(%)
United States United States 144.0 76.60
Brazil Brazil 8.0 4.26
China China 7.0 3.72
Czech Republic Czech Republic 6.0 3.19
Embrapa Embrapa 5.0 2.66
N/A N/A 5.0 2.66
Russian Federation Russian Federation 3.0 1.60
Germany Germany 2.0 1.06
United Kingdom United Kingdom 1.0 0.53
Argentina Argentina 1.0 0.53
Belgium Belgium 1.0 0.53
Norway Norway 1.0 0.53
India India 1.0 0.53
France France 1.0 0.53
Japan Japan 1.0 0.53
Latvia Latvia 1.0 0.53
188.0 100.00
Views by countryExport
Origin Views Perc.(%)
United States United States 299 45.03
United Kingdom United Kingdom 69 10.39
Germany Germany 68 10.24
China China 64 9.64
Moldova, Republic of Moldova, Republic of 63 9.49
N/A N/A 25 3.77
Canada Canada 15 2.26
Embrapa Embrapa 14 2.11
Brazil Brazil 12 1.81
Japan Japan 10 1.51
France France 9 1.36
Australia Australia 3 0.45
Russian Federation Russian Federation 3 0.45
Mongolia Mongolia 2 0.30
Taiwan Taiwan 1 0.15
Ukraine Ukraine 1 0.15
Argentina Argentina 1 0.15
India India 1 0.15
Switzerland Switzerland 1 0.15
Poland Poland 1 0.15
Ireland Ireland 1 0.15
Iran, Islamic Republic of Iran, Islamic Republic of 1 0.15
664 100.00
Indexed by
Portal Brasileiro de Publicações e Dados Científicos em Acesso Aberto        BR1– FAO AGRIS data provider 2025
Supported by


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Brazilian Agricultural Research Corporation - Embrapa SAC: https://www.embrapa.br/fale-conosco

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