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Integrating ethnobiological knowledge into biodiversity conservation in the Eastern Himalayas

Overview of attention for article published in Journal of Ethnobiology and Ethnomedicine, March 2017
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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 (#11 of 623)
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

policy
1 policy source
twitter
22 tweeters
wikipedia
22 Wikipedia pages
googleplus
3 Google+ users

Citations

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14 Dimensions

Readers on

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76 Mendeley
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Title
Integrating ethnobiological knowledge into biodiversity conservation in the Eastern Himalayas
Published in
Journal of Ethnobiology and Ethnomedicine, March 2017
DOI 10.1186/s13002-017-0148-9
Pubmed ID
Authors

Alexander R. O’Neill, Hemant K. Badola, Pitamber P. Dhyani, Santosh K. Rana

Abstract

Biocultural knowledge provides valuable insight into ecological processes, and can guide conservation practitioners in local contexts. In many regions, however, such knowledge is underutilized due to its often-fragmented record in disparate sources. In this article, we review and apply ethnobiological knowledge to biodiversity conservation in the Eastern Himalayas. Using Sikkim, India as a case study, we: (i) traced the history and trends of ethnobiological documentation; (ii) identified priority species and habitat types; and, (iii) analyzed within and among community differences pertaining to species use and management. Our results revealed that Sikkim is a biocultural hotspot, where six ethnic communities and 1128 species engage in biocultural relationships. Since the mid-1800s, the number of ethnobiological publications from Sikkim has exponentially increased; however, our results also indicate that much of this knowledge is both unwritten and partitioned within an aging, gendered, and caste or ethnic group-specific stratum of society. Reviewed species were primarily wild or wild cultivated, native to subtropical and temperate forests, and pend IUCN Red List of Threatened Species assessment. Our results demonstrate the value of engaging local knowledge holders as active participants in conservation, and suggest the need for further ethnobiological research in the Eastern Himalayas. Our interdisciplinary approach, which included rank indices and geospatial modelling, can help integrate diverse datasets into evidence-based policy.

Twitter Demographics

The data shown below were collected from the profiles of 22 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Denmark 1 1%
Unknown 74 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 20%
Student > Ph. D. Student 14 18%
Researcher 10 13%
Student > Postgraduate 6 8%
Student > Bachelor 6 8%
Other 12 16%
Unknown 13 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 26%
Environmental Science 14 18%
Social Sciences 11 14%
Medicine and Dentistry 3 4%
Earth and Planetary Sciences 3 4%
Other 9 12%
Unknown 16 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 26 February 2020.
All research outputs
#688,711
of 15,124,181 outputs
Outputs from Journal of Ethnobiology and Ethnomedicine
#11
of 623 outputs
Outputs of similar age
#21,725
of 264,599 outputs
Outputs of similar age from Journal of Ethnobiology and Ethnomedicine
#1
of 3 outputs
Altmetric has tracked 15,124,181 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 623 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 98% 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 264,599 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 91% of its contemporaries.
We're also able to compare this research output to 3 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