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Crop diversification and livelihoods of smallholder farmers in Zimbabwe: adaptive management for environmental change

Overview of attention for article published in SpringerPlus, July 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 1,843)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

news
3 news outlets
policy
3 policy sources
twitter
2 tweeters

Citations

dimensions_citation
149 Dimensions

Readers on

mendeley
440 Mendeley
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Title
Crop diversification and livelihoods of smallholder farmers in Zimbabwe: adaptive management for environmental change
Published in
SpringerPlus, July 2016
DOI 10.1186/s40064-016-2802-4
Pubmed ID
Authors

Clifton Makate, Rongchang Wang, Marshall Makate, Nelson Mango

Abstract

This paper demonstrates how crop diversification impacts on two outcomes of climate smart agriculture; increased productivity (legume and cereal crop productivity) and enhanced resilience (household income, food security, and nutrition) in rural Zimbabwe. Using data from over 500 smallholder farmers, we jointly estimate crop diversification and each of the outcome variables within a conditional (recursive) mixed process framework that corrects for selectivity bias arising due to the voluntary nature of crop diversification. We find that crop diversification depends on the land size, farming experience, asset wealth, location, access to agricultural extension services, information on output prices, low transportation costs and general information access. Our results also indicate that an increase in the rate of adoption improves crop productivity, income, food security and nutrition at household level. Overall, our results are indicative of the importance of crop diversification as a viable climate smart agriculture practice that significantly enhances crop productivity and consequently resilience in rural smallholder farming systems. We, therefore, recommend wider adoption of diversified cropping systems notably those currently less diversified for greater adaptation to the ever-changing climate.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 440 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Pakistan 1 <1%
Australia 1 <1%
Unknown 438 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 95 22%
Student > Ph. D. Student 72 16%
Researcher 48 11%
Student > Bachelor 33 8%
Lecturer 20 5%
Other 59 13%
Unknown 113 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 108 25%
Environmental Science 50 11%
Economics, Econometrics and Finance 47 11%
Social Sciences 46 10%
Engineering 17 4%
Other 43 10%
Unknown 129 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 December 2021.
All research outputs
#819,316
of 21,301,913 outputs
Outputs from SpringerPlus
#37
of 1,843 outputs
Outputs of similar age
#21,344
of 395,378 outputs
Outputs of similar age from SpringerPlus
#1
of 1 outputs
Altmetric has tracked 21,301,913 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,843 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 97% 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 395,378 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them