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Demystifying the Sundarban tiger: novel application of conventional population estimation methods in a unique ecosystem

Overview of attention for article published in Population Ecology, December 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
83 Mendeley
Title
Demystifying the Sundarban tiger: novel application of conventional population estimation methods in a unique ecosystem
Published in
Population Ecology, December 2015
DOI 10.1007/s10144-015-0527-9
Authors

Manjari Roy, Qamar Qureshi, Dipanjan Naha, Kalyanasundaram Sankar, Rajesh Gopal, Yadvendradev Vikramsinh Jhala

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
India 1 1%
Unknown 81 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 20%
Researcher 17 20%
Student > Ph. D. Student 12 14%
Other 5 6%
Student > Postgraduate 5 6%
Other 11 13%
Unknown 16 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 49%
Environmental Science 20 24%
Veterinary Science and Veterinary Medicine 2 2%
Arts and Humanities 1 1%
Business, Management and Accounting 1 1%
Other 3 4%
Unknown 15 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 29 July 2021.
All research outputs
#6,475,815
of 23,630,563 outputs
Outputs from Population Ecology
#129
of 499 outputs
Outputs of similar age
#99,814
of 393,348 outputs
Outputs of similar age from Population Ecology
#2
of 9 outputs
Altmetric has tracked 23,630,563 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 499 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 74% 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 393,348 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.