Evidence map›Paper›PMID 35432920›Full record

ArticleEcology and evolution2022

Himalayan musk deer (

Paras Bikram Singh, Pradip Saud, Zhigang Jiang, Zhixin Zhou, Yiming Hu, Huijian Hu

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Complete genome sequences of twoMicrobiology resource announcements · 2026
    Article
  3. Article
  4. Article
  5. Himalayan musk deer (Ecology and evolution · 2022
    Article
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

6 authors at 3 institutions in 2 countries.

Paras Bikram SinghGuangdong Key Laboratory of Animal Conservation and Resource Utilization Guangdong Public Laboratory of Wild Animal Conservation and Utilization Institute of Zoology Guangdong Academy of Sciences Guangzhou China.ORCID https://orcid.org/0000-0003-2550-6326
Pradip SaudUniversity of Arkansas Agricultural Experiment Station Arkansas Forest Resources Center University of Arkansas at Monticello Monticello Arkansas USA.
Zhigang JiangInstitute of Zoology Chinese Academy of Sciences Beijing China.
Zhixin ZhouGuangdong Key Laboratory of Animal Conservation and Resource Utilization Guangdong Public Laboratory of Wild Animal Conservation and Utilization Institute of Zoology Guangdong Academy of Sciences Guangzhou China.
Yiming HuGuangdong Key Laboratory of Animal Conservation and Resource Utilization Guangdong Public Laboratory of Wild Animal Conservation and Utilization Institute of Zoology Guangdong Academy of Sciences Guangzhou China.ORCID https://orcid.org/0000-0002-0947-9594
Huijian HuGuangdong Key Laboratory of Animal Conservation and Resource Utilization Guangdong Public Laboratory of Wild Animal Conservation and Utilization Institute of Zoology Guangdong Academy of Sciences Guangzhou China.
Guangdong Academy of Sciences · CNChinese Academy of Sciences · CNUniversity of Arkansas at Monticello · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elusive species often use latrines which also serves as communication and information hubs. Thus, studying behavior at latrines may provide critical insights into the species' ecology and behavior. While it is established that musk deer use latrines for defecating, very little is known about the endangered Himalayan musk deer (

Indexed as

behaviorconservationHimalayan musk deerLatrine

Identifiers

PMID35432920
PMCPMC9001115
OpenAlexW4223423428

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.