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The insight of agricultural adaptation to climate change: a case of rice growers in Eastern Himalaya, India

Overview of attention for article published in International Journal of Biometeorology, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

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12 Dimensions

Readers on

mendeley
63 Mendeley
Title
The insight of agricultural adaptation to climate change: a case of rice growers in Eastern Himalaya, India
Published in
International Journal of Biometeorology, August 2018
DOI 10.1007/s00484-018-1586-3
Pubmed ID
Authors

Dayohimi Rymbai, Feroze Mohammad Sheikh

Abstract

Adaptation is crucial to curb down the negative impact of climate change particularly on agricultural sector. Hence, a study was conducted to identify the strategies adopted by the cereal growers in Eastern Himalaya region of India and determine the factors affecting them. A total 120 farmers were surveyed from Senapati district in Manipur and East Sikkim district in Sikkim. The widely adopted strategies were the change in transplanting time and change in transplanting as well as harvesting time, which were autonomous, traditional, and taken in response to the scarcity of water. Tobit model has identified that the area under rice cultivation, support received from Village Science Centre, and decline in food availability positively influenced the farmers to adapt to climate change. Multinomial logit model revealed that the female farmers, area under rice cultivation, and decline in rice productivity positively influenced the adoption of the strategies, whereas number of cattle owned, irrigated area, and support from Agricultural Department revealed the negative influence. To sustain farming in hill agriculture, the study recommends the integration of the farmers' knowledge along with scientific measures. Planned intervention, viz., in the form of construction of water harvesting structure, should be initiated by the State Government.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 17%
Student > Ph. D. Student 8 13%
Student > Master 6 10%
Lecturer 4 6%
Student > Bachelor 3 5%
Other 8 13%
Unknown 23 37%
Readers by discipline Count As %
Social Sciences 8 13%
Agricultural and Biological Sciences 7 11%
Environmental Science 5 8%
Economics, Econometrics and Finance 3 5%
Business, Management and Accounting 2 3%
Other 12 19%
Unknown 26 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 31 August 2018.
All research outputs
#2,647,484
of 23,100,534 outputs
Outputs from International Journal of Biometeorology
#285
of 1,302 outputs
Outputs of similar age
#55,687
of 334,232 outputs
Outputs of similar age from International Journal of Biometeorology
#9
of 27 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,302 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 75% 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 334,232 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 83% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.