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Plant Methods
H-index 33

Plant Methods

1746-4811

Published by: Springer

https://plantmethods.biomedcentral.com/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Plant Science and Agronomy 68 129 124 23
Biology and Biochemistry 334 61 62 19

Additional Metrics

Number of Best Scientists*: 306
Documents by Best Scientists*: 266
Top 100 Ranked Scientists*: 12
SCIMAGO H-index: 103
SCIMAGO SJR: 0.967
Impact Factor: 4.4

Overview

Top Research Topics at Plant Methods?

The objective of Plant Methods is to combine knowledge in the areas of Botany, Genetics, Gene, Computational biology and Arabidopsis. Botany research discussed connects with the study of Biological system. Genome, Mutant and DNA sequencing are some of the study areas of Genetics discussed.

Gene expression, Transformation (genetics), Gene silencing, Agrobacterium and Transgene are among the concentrations of Gene that garnered much attention in the journal. The research on Arabidopsis featured in the journal combines topics in other fields like Arabidopsis thaliana and Cell biology.

  • Botany (18.17%)
  • Genetics (15.00%)
  • Gene (14.91%)

What are the most cited papers published in the journal?

  • Transient expression vectors for functional genomics, quantification of promoter activity and RNA silencing in plants (840 citations)
  • Protocol: a highly sensitive RT-PCR method for detection and quantification of microRNAs (836 citations)
  • The advantages and limitations of trait analysis with GWAS: a review (778 citations)

Research areas of the most cited articles at Plant Methods:

The journal publications cover a variety of subjects, including Botany, Genetics, Gene, Computational biology and Arabidopsis. The study of Botany in the journal papers encompasses disciplines such as Biological system, as well as fields such as Root system, all of which overlap with one another. The journal articles explore research in Genetics and the adjacent study of Cell biology.

What topics the last edition of the journal is best known for?

  • Gene
  • Botany
  • Enzyme

The previous edition focused in particular on these issues:

Plant Methods explores disciplines such as Artificial intelligence, Gene, Deep learning, Horticulture and Computational biology. Image processing research are fields of study within Artificial intelligence but they also intertwine with concepts in Throughput (business). It focused on works that combine different research areas such as Computational biology and Pipeline (software).

Some problems in Transformation (genetics) that were presented in it overlapped with concepts under Transgene, Botany, Functional genomics, Reporter gene and Cell biology. The Botany works featured in it incorporate elements from Explant culture and Murashige and Skoog medium. The featured Genome study falls within the wider topic of Genetics.

The most cited articles from the last journal are:

  • Plant diseases and pests detection based on deep learning: a review. (16 citations)
  • A hybrid model based on general regression neural network and fruit fly optimization algorithm for forecasting and optimizing paclitaxel biosynthesis in Corylus avellana cell culture. (13 citations)
  • Semi-supervised few-shot learning approach for plant diseases recognition. (9 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Plant Methods (based on the number of publications) are:

  • Achim Walter (12 papers) absent at the last edition,
  • Daniel J. Robertson (8 papers) absent at the last edition,
  • Andreas Hund (6 papers) absent at the last edition,
  • David Rousseau (6 papers) absent at the last edition,
  • Norbert Kirchgessner (6 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Plant Methods (based on the number of publications) are:

  • Max Planck Society (43 papers) published 1 paper at the last edition,
  • Chinese Academy of Sciences (35 papers) published 7 papers at the last edition the same number as at the previous edition,
  • Institut national de la recherche agronomique (23 papers) absent at the last edition,
  • ETH Zurich (22 papers) absent at the last edition,
  • Nanjing Agricultural University (21 papers) published 2 papers at the last edition, 3 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 1.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.15% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.81% of all publications and 55.66% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • A survey of few-shot learning in smart agriculture: developments, applications, and challenges

    Unknown

    (2022)
    200 Citations
  • SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging

    Tanuj Misra;Alka Arora;Sudeep Marwaha;Viswanathan Chinnusamy

    (2020)
    87 Citations
  • A hybrid model based on general regression neural network and fruit fly optimization algorithm for forecasting and optimizing paclitaxel biosynthesis in Corylus avellana cell culture.

    Mina Salehi;Siamak Farhadi;Ahmad Moieni;Naser Safaie

    (2021)
    79 Citations
  • SILEX: a fast and inexpensive high-quality DNA extraction method suitable for multiple sequencing platforms and recalcitrant plant species

    Santiago Vilanova;David Alonso;Pietro Gramazio;Mariola Plazas

    (2020)
    68 Citations
  • Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.)

    (2022)
    62 Citations
  • Deep learning-based detection of seedling development.

    Salma Samiei;Pejman Rasti;Pejman Rasti;Joseph Ly Vu;Julia Buitink

    (2020)
    61 Citations
  • Simple semi-high throughput determination of activity signatures of key antioxidant enzymes for physiological phenotyping

    Lorenzo Fimognari;Rebecca Dölker;Greta Kaselyte;Camilla N. G. Jensen

    (2020)
    60 Citations
  • A cucumber green mottle mosaic virus vector for virus-induced gene silencing in cucurbit plants

    Mei Liu;Zhiling Liang;Miguel A. Aranda;Ni Hong

    (2020)
    59 Citations
  • A cationic lipid mediated CRISPR/Cas9 technique for the production of stable genome edited citrus plants

    (2022)
    53 Citations
  • Development of an accurate low cost NDVI imaging system for assessing plant health

    (2023)
    49 Citations

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