Evidence map›Paper›PMID 36421838›Full record

ArticleGenes2022

Microsatellite Characterization and Panel Selection for Brown Bear (

Vincenzo Buono, Salvatore Burgio, Nicole Macrì, Giovanni Catania, Heidi C Hauffe, Nadia Mucci, Francesca Davoli

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Confirmation of the Tibetan Brown Bear (Ecology and evolution · 2026
    Article
  2. Article
  3. Investigating Intraspecific Attacks in Brown Bears (Animals : an open access journal from MDPI · 2026
    Article
  4. 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

7 authors at 3 institutions in 1 country.

Vincenzo BuonoUnit for Conservation Genetics (BIO-CGE), Department for the Monitoring and Protection of the Environment and for Biodiversity Conservation, Italian Institute for Environmental Protection and Research (ISPRA), Ozzano dell'Emilia, 40064 Bologna, Italy.
Salvatore BurgioDepartment of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, 40100 Bologna, Italy.
Nicole MacrìUnit for Conservation Genetics (BIO-CGE), Department for the Monitoring and Protection of the Environment and for Biodiversity Conservation, Italian Institute for Environmental Protection and Research (ISPRA), Ozzano dell'Emilia, 40064 Bologna, Italy.ORCID 0000-0001-5100-5301
Giovanni CataniaDepartment of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, 40100 Bologna, Italy.
Heidi C HauffeConservation Genomics Research Unit, Research and Innovation Centre, Fondazione E. Mach, San Michele all'Adige, 38098 Trento, Italy.ORCID 0000-0003-3098-8964
Nadia MucciUnit for Conservation Genetics (BIO-CGE), Department for the Monitoring and Protection of the Environment and for Biodiversity Conservation, Italian Institute for Environmental Protection and Research (ISPRA), Ozzano dell'Emilia, 40064 Bologna, Italy.ORCID 0000-0002-7522-7213
Francesca DavoliUnit for Conservation Genetics (BIO-CGE), Department for the Monitoring and Protection of the Environment and for Biodiversity Conservation, Italian Institute for Environmental Protection and Research (ISPRA), Ozzano dell'Emilia, 40064 Bologna, Italy.ORCID 0000-0003-3231-2415
Istituto Superiore per la Protezione e la Ricerca Ambientale · ITUniversity of Bologna · ITFondazione Edmund Mach · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An assessment of the genetic diversity and structure of a population is essential for designing recovery plans for threatened species. Italy hosts two brown bear populations,

Indexed as

UrsidaeAllelesAnimalsItalyMicrosatellite Repeatsfragment analysisgenetic diversityindividual identificationinvasive and non-invasive genetic profilesmarker selectionUrsus arctos arctosUrsus arctos marsicanus

Identifiers

PMID36421838
PMCPMC9690282
OpenAlexW4309738296

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.