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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 : A new method to estimate genetic gain in annual crops.
Entry Date : 25-04-2015
Downloads and viewsExport
Month Downloads Views
January 10.0 7
February 3.0 7
March 6.0 7
April 8.0 15
May 14.0 23
June 3.0 18
July 5.0 18
August 3.0 13
September 9.0 14
October 2.0 11
November 5.0 7
December 5.0 15
73.0 155
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 75.34
China China 5.0 6.85
United Kingdom United Kingdom 2.0 2.74
Germany Germany 2.0 2.74
Ethiopia Ethiopia 2.0 2.74
Lesotho Lesotho 1.0 1.37
Latvia Latvia 1.0 1.37
France France 1.0 1.37
Argentina Argentina 1.0 1.37
Canada Canada 1.0 1.37
N/A N/A 1.0 1.37
Indonesia Indonesia 1.0 1.37
73.0 100.00
Views by countryExport
Origin Views Perc.(%)
United States United States 72 46.45
United Kingdom United Kingdom 44 28.39
N/A N/A 11 7.10
Moldova, Republic of Moldova, Republic of 10 6.45
Germany Germany 5 3.23
Argentina Argentina 3 1.94
Brazil Brazil 2 1.29
France France 2 1.29
Japan Japan 2 1.29
Canada Canada 1 0.65
China China 1 0.65
Russian Federation Russian Federation 1 0.65
Australia Australia 1 0.65
155 100.00
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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