Evidence map›Paper›PMID 34573405›Full record

ArticleGenes2021

Sylvia Hofmann, Chitra Bahadur Baniya, Matthias Stöck, Lars Podsiadlowski

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

4 authors.

Sylvia HofmannCentre of Taxonomy and Evolutionary Research, Zoological Research Museum Alexander Koenig, D-53113 Bonn, Germany.ORCID 0000-0003-0621-9049
Chitra Bahadur BaniyaCentral Department of Botany, Tribhuvan University, Kirtipur 44618, Nepal.
Matthias StöckDepartment of Ecophysiology and Aquaculture, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, D-12587 Berlin, Germany.ORCID 0000-0003-4888-8371
Lars PodsiadlowskiCentre for Molecular Biodiversity Research, Zoological Research Museum Alexander Koenig, D-53113 Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Himalayan Arc is recognized as a global biodiversity hotspot. Among its numerous cryptic and undiscovered organisms, this composite high-mountain ecosystem harbors many taxa with adaptations to life in high elevations. However, evolutionary patterns and genomic features have been relatively rarely studied in Himalayan vertebrates. Here, we provide the first well-annotated transcriptome of a Greater Himalayan reptile species, the Ladakh Ground skink

Indexed as

AltitudeTranscriptomeAcclimatizationAdaptation, PhysiologicalAnimalsHigh-Throughput Nucleotide SequencingLizardsMolecular Sequence AnnotationNepalRNA-SeqSequence Analysis, DNAadaptationevolutiongenomichigh elevationHimalayasScincidae

Identifiers

PMID34573405
PMCPMC8466045

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.