An overview of forestry journals in the period 2006-2010 as basis for ascertaining research trends
2014
Аутори:
Bojović, SrđanMatić, Rada
Popović, Zorica
Smiljanic, Miroslava
Marković, Milena
Vidakovic, Vera
Тип документа:
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт:
Articles published between January 1, 2006 and December 31, 2010 in 42
forestry journals (N = 16,258) were collected and, depending on their
content and key words, classified in one of 22 sub-disciplines. Among
the forestry sub-disciplines, the following are currently dominant:
Mensuration and inventories, Forest management, Plant ecophysiology and
Wood science. PCA ordination was used to visualize grouping tendencies
and data separation. For each component, a number of characteristics
contributed to the total variation, and significant importance was
attached to those with the highest loading factors. The first component
included Mensuration and inventories, Plant ecophysiology, Vegetation
ecology and Forest management, as the highest loading factors. The
second components comprised Sociological aspects, Plant ecophysiology,
Wood science and Forest management. The most pronounced increase trend
over the five-year period is noted for Genetics and breeding, Vegetation
ecology, Fuels and energy, while the most pronounced decrease trend is
visible in Forest health, Forest fire, Sociological aspects and Forest
products. PCA suggests the existence of three groups of journals: the
first group comprises Forest Ecology and Management and Canadian Journal
of Forest Research, the dominating two, the second group comprises
Annals of Forest Science, Plant Ecology, Tree Physiology and
Trees-Structure and Function, while the rest of the journals belong to
the third group. The Canadian Journal of Forest Research is the most
diversified, while Tree Genetics and Genomes, Silvae Genetica and
Tree-ring Research are narrowly specialized.
Кључне речи:
Forestry journals; Current state and research trends; Article evaluation; Forestry sub-disciplines; Principal-component analysesИзвор:
Scientometrics, 2014, 98, 2, 1331-1346
DOI: 10.1007/s11192-013-1171-9
ISSN: 1588-2861