Evidence map›Paper›PMID 26506615›Full record

ArticlePloS one2015

TransNewGuinea.org: An Online Database of New Guinea Languages.

Simon J Greenhill

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
16.3field-weighted citation impact, top 1% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

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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

1 author at 1 institution in 2 countries.

Simon J GreenhillARC Centre of Excellence for the Dynamics of Language, Australian National University, Canberra, Australia; ANU College of Asia and the Pacific, Australian National University, Canberra, Australia; Max Planck Institute for the Science of Human History, Jena, Germany.
Max Planck Institute for the Science of Human History · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The island of New Guinea has the world's highest linguistic diversity, with more than 900 languages divided into at least 23 distinct language families. This diversity includes the world's third largest language family: Trans-New Guinea. However, the region is one of the world's least well studied, and primary data is scattered across a wide range of publications and more often then not hidden in unpublished "gray" literature. The lack of primary research data on the New Guinea languages has been a major impediment to our understanding of these languages, and the history of the peoples in New Guinea. TransNewGuinea.org aims to collect data about these languages and place them online in a consistent format. This database will enable future research into the New Guinea languages with both traditional comparative linguistic methods and novel cutting-edge computational techniques. The long-term aim is to shed light into the prehistory of the peoples of New Guinea, and to understand why there is such major diversity in their languages.

Indexed as

Databases, FactualLanguageLinguisticsCultureHumansNew Guinea

Identifiers

PMID26506615
PMCPMC4623503
OpenAlexW2127644064

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.