Evidence map›Paper›PMID 33643701›Full record

ArticlePeerJ2021

Density estimation of tiger and leopard using spatially explicit capture-recapture framework.

Tahir Ali Rather, Sharad Kumar, Jamal Ahmad Khan

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Tahir Ali RatherDepartment of Wildlife Sciences, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.ORCID 0000-0003-3592-3780
Sharad KumarDepartment of Wildlife Sciences, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
Jamal Ahmad KhanDepartment of Wildlife Sciences, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
Aligarh Muslim University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The conservation of large carnivores often requires precise and accurate estimates of their populations. Being cryptic and occurring at low population densities, obtaining an unbiased population estimate is difficult in large carnivores. To overcome the uncertainties in the conventional capture-recapture (CR) methods used to estimate large carnivore densities, more robust methods such as spatially explicit capture-recapture (SECR) framework are now widely used. We modeled the CR data of tiger (

Indexed as

BandhavgarhCamera trappingLeopardPopulation densitySECRTiger

Identifiers

PMID33643701
PMCPMC7896501
OpenAlexW3129511071

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.