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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)
Year
 

Item
Title : Aprendizado de máquina para predição da qualidade nutricional de forrageiras.
Entry Date : 27-10-2021
Downloads and viewsExport
Month Downloads Views
January 13.0 13
February 9.0 12
March 3.0 18
April 9.0 15
May 12.0 23
June 4.0 31
July 5.0 28
August 4.0 23
September 10.0 32
October 7.0 49
November 4.0 46
80.0 290
Downloads and views per month
Downloads by country (top 10)
Views by country (top 10)
Downloads by countryExport
Origin Downloads Perc.(%)
United States United States 55.0 67.90
Czech Republic Czech Republic 8.0 9.88
China China 6.0 7.41
N/A N/A 4.0 4.94
Russian Federation Russian Federation 3.0 3.70
Latvia Latvia 1.0 1.23
Belgium Belgium 1.0 1.23
Argentina Argentina 1.0 1.23
Brazil Brazil 1.0 1.23
India India 1.0 1.23
81.0 100.00
Views by countryExport
Origin Views Perc.(%)
United States United States 144 47.68
China China 68 22.52
Germany Germany 26 8.61
N/A N/A 13 4.30
Japan Japan 11 3.64
Moldova, Republic of Moldova, Republic of 10 3.31
Brazil Brazil 8 2.65
United Kingdom United Kingdom 7 2.32
France France 4 1.32
Russian Federation Russian Federation 3 0.99
Australia Australia 2 0.66
Greece Greece 2 0.66
Poland Poland 1 0.33
Iran, Islamic Republic of Iran, Islamic Republic of 1 0.33
Ukraine Ukraine 1 0.33
Canada Canada 1 0.33
302 100.00
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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