Evidence map›Paper›PMID 32467703›Full record

ArticleCurrent zoology2020

Diet composition of the lizard

Silvia Santamaría, Camilla Aviaaja Enoksen, Jens M Olesen, Giacomo Tavecchia, Andreu Rotger, José Manuel Igual, Anna Traveset

Abstract read
In one paragraph

Article in Current zoology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. DNA metabarcoding the diet ofCurrent zoology · 2023
    Article
  4. Article
  5. Article
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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.

Silvia SantamaríaGlobal Change Research Group, Inst. Mediterrani d'Estudis Avançats (CSIC-UIB), C/Miquel Marquès 21, E07190 Esporles, Mallorca, Balearic Islands, Spain.
Camilla Aviaaja EnoksenSection for Ecoinformatics & Biodiversity, Department of Bioscience, Aarhus University, Aarhus C, 8000, Denmark.
Jens M OlesenSection for Ecoinformatics & Biodiversity, Department of Bioscience, Aarhus University, Aarhus C, 8000, Denmark.
Giacomo TavecchiaAnimal Ecology and Demography Group, Inst. Mediterrani d'Estudis Avançats (CSIC-UIB), C/Miquel Marquès 21, Esporles, Mallorca, Balearic Islands, E07190, Spain.
Andreu RotgerAnimal Ecology and Demography Group, Inst. Mediterrani d'Estudis Avançats (CSIC-UIB), C/Miquel Marquès 21, Esporles, Mallorca, Balearic Islands, E07190, Spain.
José Manuel IgualAnimal Ecology and Demography Group, Inst. Mediterrani d'Estudis Avançats (CSIC-UIB), C/Miquel Marquès 21, Esporles, Mallorca, Balearic Islands, E07190, Spain.
Anna TravesetGlobal Change Research Group, Inst. Mediterrani d'Estudis Avançats (CSIC-UIB), C/Miquel Marquès 21, E07190 Esporles, Mallorca, Balearic Islands, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite it is widely accepted that intrapopulation variation is fundamental to ecological and evolutionary processes, this level of information has only recently been included into network analysis of species/population interactions. When done, it has revealed non-random patterns in the distribution of trophic resources. Nestedness in resource use among individuals is the most recurrent observed pattern, often accompanied by an absence of modularity, but no previous studies examine bipartite modularity. We use network analysis to describe the diet composition of the Balearic endemic lizard

Indexed as

Balearic Islandsindividual diet compositionindividual-level networkmodularitynestednesspopulation niche width

Identifiers

PMID32467703
PMCPMC7245015

What OpenQuestion holds

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LicenceCC BY-NC
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.