Evidence map›Paper›PMID 39144493›Full record

ArticleRoyal Society open science2024

Assessing patterns of metazoans in the global ocean using environmental DNA.

Nathan R Geraldi, Silvia G Acinas, Intikhab Alam, Josep M Gasol, María Luz Fernández-de-Puelles, Caterina R Giner, Santiago Hernández León, Ramiro Logares, Ramon Massana, Pablo Sánchez and 3 more

Abstract read
In one paragraph

Article in Royal Society open science, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Nathan R GeraldiRed Sea Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.ORCID https://orcid.org/0000-0002-2669-3867
Silvia G AcinasInstitut de Ciències del Mar, CSIC, Barcelona, Catalunya, Spain.
Intikhab AlamComputational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Josep M GasolInstitut de Ciències del Mar, CSIC, Barcelona, Catalunya, Spain.ORCID https://orcid.org/0000-0001-5238-2387
María Luz Fernández-de-PuellesInstituto Español de Oceanografía, Centro Oceanográfico de Baleares, Palma de Mallorca 07015, Spain.
Caterina R GinerInstitut de Ciències del Mar, CSIC, Barcelona, Catalunya, Spain.
Santiago Hernández LeónInstituto de Oceanografía y Cambio Global, IOCAG, Universidad de Las Palmas de Gran Canaria, Unidad Asociada ULPGC-CSIC, Campus de Taliarte, Telde, Gran Canaria, Canary Islands 35214, Spain.
Ramiro LogaresInstitut de Ciències del Mar, CSIC, Barcelona, Catalunya, Spain.
Ramon MassanaInstitut de Ciències del Mar, CSIC, Barcelona, Catalunya, Spain.
Pablo SánchezInstitut de Ciències del Mar, CSIC, Barcelona, Catalunya, Spain.
Vladimir BajicComputational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Takashi GojoboriComputational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Carlos M DuarteRed Sea Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Documenting large-scale patterns of animals in the ocean and determining the drivers of these patterns is needed for conservation efforts given the unprecedented rates of change occurring within marine ecosystems. We used existing datasets from two global expeditions,

Indexed as

deep seadiversityglobal abundancemetabarcodingmetagenomemetazoan

Identifiers

PMID39144493
PMCPMC11321857

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.