Evidence map›Paper›PMID 39952997›Full record

ArticleScientific reports2025

Bone diagenesis and stratigraphic implications from Pleistocene karst systems.

Héctor Del Valle, Alejandro B Rodríguez-Navarro, Abel Moclán, Paula García-Medrano, Isabel Cáceres

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Héctor Del ValleInstitut Català de Paleoecologia Humana i Evolució Social (IPHES-CERCA), Zona Educacional 4, Campus Sescelades URV (Edifici W3), 43007, Tarragona, Spain. hectorvalleblanco@gmail.com.ORCID 0000-0003-4363-8082
Alejandro B Rodríguez-NavarroDepartamento de Mineralogía y Petrología, Universidad de Granada, 18002, Granada, Spain.ORCID 0000-0003-2674-7383
Abel MoclánLaboratoire PALEVOPRIM, Université de Poitiers and CNRS, Poitiers, France.ORCID 0000-0001-5555-7760
Paula García-MedranoInstitut Català de Paleoecologia Humana i Evolució Social (IPHES-CERCA), Zona Educacional 4, Campus Sescelades URV (Edifici W3), 43007, Tarragona, Spain.ORCID 0000-0002-4574-1019
Isabel CáceresInstitut Català de Paleoecologia Humana i Evolució Social (IPHES-CERCA), Zona Educacional 4, Campus Sescelades URV (Edifici W3), 43007, Tarragona, Spain.ORCID 0000-0001-8487-2591

Funding

Agència de Gestió d'Ajuts Universitaris i de Recerca 2021 SGR 01238European Research Council 101052653Ministerio de Ciencia, Innovación y Universidades MICINN- PID2020-116660GB-I00Ministerio de Ciencia, Innovación y Universidades PID2021-122355NB-C32Universitat Rovira i Virgili PFR-URV-01238
6 · The paper itself

Abstract

Bone diagenesis is a complex process that modifies bone components in response to burial conditions. These modifications help to understand deposit formation and classify fossils by stratigraphy. The combined techniques of X-ray diffraction with Rietveld refinement and infrared spectroscopy were used to study the bone diagenetic processes along the complete stratigraphic sequence of Galería site (Sierra de Atapuerca, Spain). Eleven chemometric indices considering the different bone components (phosphates, carbonates, organic phase), together with the apatite unit cell parameters and cell volume were evaluated by 9 machine learning algorithms for bone diagenesis/stratigraphic classification. The results showed differences along the stratigraphic sequence due to changes in the apatite structure chemistry (i.e., F

Indexed as

Bone and BonesFossilsApatitesCarbonatesGeologic SedimentsSpainX-Ray DiffractionApatitesCarbonatesApatiteFossil bonesInfrared spectroscopyMachine learningX-ray diffraction

Identifiers

PMID39952997
PMCPMC11828995

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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.