Evidence map›Paper›PMID 29177112›Full record

ArticlePeerJ2017

Transcriptome sequencing reveals high isoform diversity in the ant

Kishor Dhaygude, Kalevi Trontti, Jenni Paviala, Claire Morandin, Christopher Wheat, Liselotte Sundström, Heikki Helanterä

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 2 institutions in 2 countries.

Kishor Dhaygude *Centre of Excellence in Biological Interactions, Department of Biosciences, University of Helsinki, Helsinki, Finland.
Kalevi Trontti *Department of Biosciences, Neurogenomics Laboratory, University of Helsinki, Helsinki, Finland.
Jenni PavialaCentre of Excellence in Biological Interactions, Department of Biosciences, University of Helsinki, Helsinki, Finland.
Claire MorandinCentre of Excellence in Biological Interactions, Department of Biosciences, University of Helsinki, Helsinki, Finland.
Christopher WheatDepartment of Zoology Ecology, Stockholm University, Stockholm, Sweden.
Liselotte SundströmCentre of Excellence in Biological Interactions, Department of Biosciences, University of Helsinki, Helsinki, Finland.
Heikki HelanteräCentre of Excellence in Biological Interactions, Department of Biosciences, University of Helsinki, Helsinki, Finland.
University of Helsinki · FIStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptome resources for social insects have the potential to provide new insight into polyphenism, i.e., how divergent phenotypes arise from the same genome. Here we present a transcriptome based on paired-end RNA sequencing data for the ant

Indexed as

AntsHymenopteraPool-seqRNA-sequencingTranscriptome de novo assemblyTranscriptomics

Identifiers

PMID29177112
PMCPMC5701548
OpenAlexW2768146969

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.