Evidence map›Paper›PMID 39224297›Full record

ReviewHeliyon2024

Coffee arabica research (1932-2023): Performance, thematic evolution and mapping, global landscape, and emerging trends.

Siddig Ibrahim Abdelwahab, Manal Mohamed Elhassan Taha, Ahmed Ali Jerah, Ieman A Aljahdali, Bassem Oraibi, Hassan Ahmad Alfaifi, Saleh M Abdullah, Amal Hamdan Alzahrani, Omar Oraibi, Yasir Babiker and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

11 authors.

Siddig Ibrahim AbdelwahabHealth Research Centre, Jazan University, Jazan, Saudi Arabia.
Manal Mohamed Elhassan TahaHealth Research Centre, Jazan University, Jazan, Saudi Arabia.
Ahmed Ali JerahDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
Ieman A AljahdaliDepartment of Clinical Laboratory Sciences, Taif university, Taif, Saudi Arabia.
Bassem OraibiHealth Research Centre, Jazan University, Jazan, Saudi Arabia.
Hassan Ahmad AlfaifiPharmaceutical Care Administration (Jeddah Second Health Cluster), Ministry of Health, Saudi Arabia.
Saleh M AbdullahDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
Amal Hamdan AlzahraniDepartment of Pharmacology and Toxicology, College of Pharmacy, King Abdulaziz University, Saudi Arabia.
Omar OraibiDepartment of Internal Medicine, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Yasir BabikerDepartment of Surgery, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Abdullah FarasaniDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Research on Coffea arabica focuses on various aspects, including genetics, breeding, climate change resilience, pest and disease management, agronomy, sensory analysis, and sustainability. This study aims to analyze the hotspots, conceptual map and dynamicity, global landscape, and emerging trends in Methods: A comprehensive dataset comprising data-driven articles (N = 3967) from 1932 to 2023 was extracted from Scopus using predefined search terms. VOSviewer and Bibliometrix applications were utilized to analyze the data. Thematic evolution was examined by identifying shifts in research focus over time. The global landscape was assessed by examining comparative productivity and collaborative dynamics. Highly-cited CA-R was identified to highlight key findings in specific research areas. Results: The analysis revealed a steady growth of CA-R (annual growth rate = 6.53 %), with strong international collaboration (international co-authorships = 29.35 %) and significant contributions from various countries. Brazil leads the way with 1601 publications, accounting for 28.55 % of the total. Recognizable CA-R focused on important areas such as pollination, shade management, nanotechnology applications, roasting effects, disease management, and environmental impacts. Thematic analysis identified five distinct clusters representing different CA-R themes: "coffee", "coffea," "fermentation," " Conclusion: The current findings enhance our understanding of CA-R and lay the groundwork for future studies in the coffee industry.

Indexed as

BibliometrixCoffea arabica L.International collaborationResearch landscape and trendsThematic evolutionVOSviewer

Identifiers

PMID39224297
PMCPMC11366912

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.