↓ Skip to main content

PLOS

Elevational Gradients in Fish Diversity in the Himalaya: Water Discharge Is the Key Driver of Distribution Patterns

Overview of attention for article published in PLOS ONE, September 2012
Altmetric Badge

Mentioned by

news
1 news outlet
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
118 Mendeley
Title
Elevational Gradients in Fish Diversity in the Himalaya: Water Discharge Is the Key Driver of Distribution Patterns
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0046237
Pubmed ID
Authors

Jay P. Bhatt, Kumar Manish, Maharaj K. Pandit

Abstract

Studying diversity and distribution patterns of species along elevational gradients and understanding drivers behind these patterns is central to macroecology and conservation biology. A number of studies on biogeographic gradients are available for terrestrial ecosystems, but freshwater ecosystems remain largely neglected. In particular, we know very little about the species richness gradients and their drivers in the Himalaya, a global biodiversity hotspot.

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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 2%
Brazil 2 2%
France 1 <1%
Unknown 113 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 27%
Researcher 20 17%
Student > Master 12 10%
Student > Bachelor 10 8%
Student > Doctoral Student 4 3%
Other 14 12%
Unknown 26 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 39%
Environmental Science 33 28%
Biochemistry, Genetics and Molecular Biology 3 3%
Medicine and Dentistry 2 2%
Engineering 2 2%
Other 5 4%
Unknown 27 23%