Evidence map›Paper›PMID 30692868›Full record

ArticleBiodiversity data journal2019

Biodiversity Observations Miner: A web application to unlock primary biodiversity data from published literature.

Gabriel Muñoz, W Daniel Kissling, E Emiel van Loon

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biodiversity data journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Gabriel MuñozNASUA, Biodiversity research and conservation section, Quito, Ecuador NASUA, Biodiversity research and conservation section Quito Ecuador.
W Daniel KisslingFaculty of Science, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, Netherlands Faculty of Science, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam Amsterdam Netherlands.ORCID https://orcid.org/0000-0002-7274-6755
E Emiel van LoonFaculty of Science, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, Netherlands Faculty of Science, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam Amsterdam Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA considerable portion of primary biodiversity data is digitally locked inside published literature which is often stored as pdf files. Large-scale approaches to biodiversity science could benefit from retrieving this information and making it digitally accessible and machine-readable. Nonetheless, the amount and diversity of digitally published literature pose many challenges for knowledge discovery and retrieval. Text mining has been extensively used for data discovery tasks in large quantities of documents. However, text mining approaches for knowledge discovery and retrieval have been limited in biodiversity science compared to other disciplines. NEW INFORMATION: Here, we present a novel, open source text mining tool, the

Indexed as

biodiversity databiodiversity knowledgebiotic interactionsdata mobilisationR.scientific namestext mining

Identifiers

PMID30692868
PMCPMC6344444

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.