Evidence map›Paper›PMID 30417119›Full record

ArticleCommunications biology2018

Elevated atmospheric CO

Chufei Tang, Katie E Davis, Cyrille Delmer, Ding Yang, Matthew A Wills

Abstract read
In one paragraph

Article in Communications biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Phylogenomics redefines the evolutionary history of mosquitoes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
  3. The Angiosperm Terrestrial Revolution buffered ants against extinction.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Speciation across the Earth driven by global cooling in terrestrial orchids.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. 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

5 authors.

Chufei TangDepartment of Entomology, College of Plant Protection, China Agricultural University, 100193, Beijing, China.ORCID http://orcid.org/0000-0001-6266-4900
Katie E DavisDepartment of Biology, University of York, Heslington, York, YO10 5DD, UK.
Cyrille DelmerThe Milner Centre for Evolution, Department of Biology & Biochemistry, University of Bath, Claverton Down, Bath, BA27AY, UK.
Ding YangDepartment of Entomology, College of Plant Protection, China Agricultural University, 100193, Beijing, China. dyangcau@126.com.
Matthew A WillsThe Milner Centre for Evolution, Department of Biology & Biochemistry, University of Bath, Claverton Down, Bath, BA27AY, UK. m.a.wills@bath.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquitoes are of great medical significance as vectors of deadly diseases. Despite this, little is known about their evolutionary history or how their present day diversity has been shaped. Within a phylogenetic framework, here we show a strong correlation between climate change and mosquito speciation rates: the first time to our knowledge such an effect has been demonstrated for insects. Information theory reveals that although climate change is correlated with mosquito evolution there are other important factors at play. We identify one such driver to be the rise of mammals, which are predominant hosts of Culicidae. Regardless of the precise mechanism, we demonstrate a strong historical association. This finding, taken in combination with projected rises in atmospheric CO

Identifiers

PMID30417119
PMCPMC6218564

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.