| Title |
A bibliometric analysis of global forest ecology research during 2002–2011
|
|---|---|
| Published in |
SpringerPlus, May 2013
|
| DOI | 10.1186/2193-1801-2-204 |
| Pubmed ID | |
| Authors |
Yajun Song, Tianzhong Zhao |
| Abstract |
Bibliometric is increasingly used for the analysis of discipline dynamics and management related decision-making. This study analyzes 937,923 keywords from 78,986 articles concerning forest ecology and conducts a serial analysis of these articles' characteristics. The articles' records, published between 2002 and 2011, were downloaded from the Web of Science, and their keywords were exported by Java processing programs. The result shows that forest ecology studies focused on forest diversity, conservation, dynamics and vegetation in the last decade. Developed countries, such as the USA, Canada, and Germany, were the most productive countries in the field of forest ecology research. From 2002 to 2011, the number of articles published annually related to forest ecology grew at a stable rate, as indicated by the fit produced by a high determination coefficient (R(2) = 0.9955). The findings of this study may be applicable for planning and managing forest ecology research and partners involved in such research may use this study as a reference. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 2% |
| Unknown | 57 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 8 | 14% |
| Researcher | 6 | 10% |
| Student > Bachelor | 6 | 10% |
| Student > Postgraduate | 5 | 9% |
| Other | 13 | 22% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 26% |
| Environmental Science | 7 | 12% |
| Social Sciences | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Earth and Planetary Sciences | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 15 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 May 2013.
All research outputs
#18,337,420
of 22,708,120 outputs
Outputs from SpringerPlus
#1,260
of 1,852 outputs
Outputs of similar age
#144,722
of 192,695 outputs
Outputs of similar age from SpringerPlus
#54
of 105 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.