Evidence map›Paper›PMID 39134917›Full record

ReviewWorld journal of microbiology & biotechnology2024

Editing microbes to mitigate enteric methane emissions in livestock.

Faheem Ahmed Khan, Azhar Ali, Di Wu, Chunjie Huang, Hamza Zulfiqar, Muhammad Ali, Bilal Ahmed, Muhammad Rizwan Yousaf, Ezi Masdia Putri, Windu Negara and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of microbiology & biotechnology, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

12 authors.

Faheem Ahmed KhanResearch Center for Animal Husbandry, National Research and Innovation Agency, Jakarta, 10340, Indonesia.
Azhar AliDepartment of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Semarang, Indonesia.
Di WuInstitute of Reproductive Medicine, School of Medicine, Nantong University, Nantong, 226001, China.
Chunjie HuangInstitute of Reproductive Medicine, School of Medicine, Nantong University, Nantong, 226001, China.
Hamza ZulfiqarDepartment of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Semarang, Indonesia.
Muhammad AliInstitute of Animal and Diary sciences, Faculty of Animal Husbandry, Agriculture University, Faisalabad, Pakistan.
Bilal AhmedDepartment of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Semarang, Indonesia.
Muhammad Rizwan YousafDepartment of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Semarang, Indonesia.
Ezi Masdia PutriResearch Center for Animal Husbandry, National Research and Innovation Agency, Jakarta, 10340, Indonesia.
Windu NegaraResearch Center for Animal Husbandry, National Research and Innovation Agency, Jakarta, 10340, Indonesia.
Muhammad ImranDepartment of Microbiology, Quaid-i-Azam University, Islamabad, Pakistan.
Nuruliarizki Shinta PandupuspitasariDepartment of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Semarang, Indonesia. shin_tse@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Livestock production significantly contributes to greenhouse gas (GHG) emissions particularly methane (CH

Indexed as

CRISPR-Cas SystemsGene EditingGreenhouse GasesLivestockMethaneRumenAnimalsBacteriaCattleGastrointestinal MicrobiomeGoatsMicrobial ConsortiaRuminantsSheepGreenhouse GasesMethaneCRISPR/Cas9Genome editingLivestockMethanogensMicrobes

Identifiers

PMID39134917

What OpenQuestion holds

Textmetadata
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.