Evidence map›Paper›PMID 32821539›Full record

ArticlePeerJ2020

Hikaru Watanabe, Chong Han Ng, Vachiranee Limviphuvadh, Shinya Suzuki, Takuji Yamada

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  8. Review
  9. Review
  10. The periodic table of fermented foods: limitations and opportunities.Applied microbiology and biotechnology · 2022
    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

5 authors at 3 institutions in 3 countries.

Hikaru WatanabeSchool of Life Science and Technology, Tokyo Institute of Technology, Meguro, Tokyo, Japan.
Chong Han NgFaculty of Information Science & Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka, Malaysia.
Vachiranee LimviphuvadhBioinformatics Institute (BII), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.ORCID 0000-0001-5344-0585
Shinya SuzukiSchool of Life Science and Technology, Tokyo Institute of Technology, Meguro, Tokyo, Japan.ORCID 0000-0002-1816-4260
Takuji YamadaSchool of Life Science and Technology, Tokyo Institute of Technology, Meguro, Tokyo, Japan.
Tokyo Institute of Technology · JPAgency for Science, Technology and Research · SGMultimedia University · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coffee beans derived from feces of the civet cat are used to brew coffee known as kopi luwak (the Indonesian words for coffee and palm civet, respectively), which is one of the most expensive coffees in the world owing to its limited supply and strong market demand. Recent metabolomics studies have revealed that kopi luwak metabolites differ from metabolites found in other coffee beans. To produce kopi luwak, coffee beans are first eaten by civet cats. It has been proposed that fermentation inside the civet cat digestive tract may contribute to the distinctively smooth flavor of kopi luwak, but the biological basis has not been determined. Therefore, we characterized the microbiome of civet cat feces using 16S rRNA gene sequences to determine the bacterial taxa that may influence fermentation processes related to kopi luwak. Moreover, we compared this fecal microbiome with that of 14 other animals, revealing that

Indexed as

FermentationKopi luwakMicrobiome

Identifiers

PMID32821539
PMCPMC7396140
OpenAlexW3046312339

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.