Evidence map›Paper›PMID 39452324›Full record

ArticleInsects2024

An Assessment Model for Agricultural Databases: The Arthropod Pesticide Resistance Database as a Case Study.

Jane Payumo, Julia Bello-Bravo, Vineeth Chennuru, Solo Arman Mercene, Chaeyeon Yim, Lee Duynslager, Bhanu Kanamarlapudi, Omar Posos-Parra, Sky Payumo, David Mota-Sanchez

Abstract read
In one paragraph

Article in Insects, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

10 authors.

Jane PayumoResearch Evaluation and Data Analytics, MSU AgBioResearch, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0002-8968-5020
Julia Bello-BravoDepartment of Agricultural Sciences Education and Communication, Purdue University, Lafayette, IN 47907, USA.
Vineeth ChennuruResearch Evaluation and Data Analytics, MSU AgBioResearch, Michigan State University, East Lansing, MI 48824, USA.
Solo Arman MerceneDepartment of Entomology, Michigan State University, East Lansing, MI 48824, USA.
Chaeyeon YimResearch Evaluation and Data Analytics, MSU AgBioResearch, Michigan State University, East Lansing, MI 48824, USA.ORCID 0009-0002-5901-3984
Lee DuynslagerDepartment of Entomology, Michigan State University, East Lansing, MI 48824, USA.
Bhanu KanamarlapudiResearch Evaluation and Data Analytics, MSU AgBioResearch, Michigan State University, East Lansing, MI 48824, USA.
Omar Posos-ParraDepartment of Entomology, Michigan State University, East Lansing, MI 48824, USA.
Sky PayumoDepartment of Entomology, Michigan State University, East Lansing, MI 48824, USA.
David Mota-SanchezDepartment of Entomology, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0002-3102-9346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a multi-method approach for evaluating the utility and impact of agricultural databases in the context of the rapidly expanding digital economy. Focusing on the Arthropod Pesticide Resistance Database, one of the most comprehensive global resources on arthropod pesticide resistance, we offer a framework for assessing the effectiveness of agricultural databases. Our approach provides practical guidance for developers, users, evaluators, and funders on how to measure the impact of these digital tools, using relevant metrics and data to validate their contributions. Additionally, we introduce an index-based method that evaluates impact across multiple dimensions, including data usage, accessibility, inclusivity, knowledge generation, innovation, research and policy development, and collaboration. The detailed methodology serves as both a reference and a model for evaluating the impact of other agricultural databases, ensuring they effectively support decision-making and foster innovation in the agricultural sector.

Indexed as

agricultural databaseglobal metricsimpact assessmentpesticide resistancequalitative surveyquantitative analysis

Identifiers

PMID39452324
PMCPMC11509053

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.