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Identifying and measuring land-use and proximity conflicts: methods and identification

Overview of attention for article published in SpringerPlus, February 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

policy
1 policy source
twitter
3 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
65 Mendeley
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Title
Identifying and measuring land-use and proximity conflicts: methods and identification
Published in
SpringerPlus, February 2014
DOI 10.1186/2193-1801-3-85
Pubmed ID
Authors

André Torre, Romain Melot, Habibullah Magsi, Luc Bossuet, Anne Cadoret, Armelle Caron, Ségolène Darly, Philippe Jeanneaux, Thierry Kirat, Haï Vu Pham, Orestes Kolokouris

Abstract

This text aims to present the methodology of study of land-use conflicts performed in recent years by a multidisciplinary team, and to reveal the methods of survey and data collection, as well as the structure of the resulting database. We first define the scope of our study by providing a definition of these conflicts, of their characteristics and motives, of the ways they manifest themselves and of the actors involved (I). We then present the methodology we have used to identify conflicts; it is based on a spatial analysis and the combined use of different data collection methods including surveys conducted by experts, analyses of the regional daily press and of data from the administrative litigation courts (II). Finally we present the resulting Conflicts © data base, with its tables and nomenclatures, in which the data collected in different fields are reconciled and analyzed (III), before providing a few examples of how this method can be used to analyze case studies in developed and developing countries (IV).

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Researcher 14 22%
Student > Master 9 14%
Student > Doctoral Student 7 11%
Student > Postgraduate 6 9%
Other 9 14%
Unknown 6 9%
Readers by discipline Count As %
Environmental Science 17 26%
Social Sciences 14 22%
Economics, Econometrics and Finance 7 11%
Earth and Planetary Sciences 7 11%
Agricultural and Biological Sciences 4 6%
Other 5 8%
Unknown 11 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 August 2017.
All research outputs
#3,350,579
of 14,364,599 outputs
Outputs from SpringerPlus
#257
of 1,772 outputs
Outputs of similar age
#40,631
of 189,210 outputs
Outputs of similar age from SpringerPlus
#2
of 11 outputs
Altmetric has tracked 14,364,599 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,772 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 189,210 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.