Evidence map›Paper›PMID 38931612›Full record

ArticleSensors (Basel, Switzerland)2024

Analysis of Varroa Mite Colony Infestation Level Using New Open Software Based on Deep Learning Techniques.

Jose Divasón, Ana Romero, Francisco Javier Martinez-de-Pison, Matías Casalongue, Miguel A Silvestre, Pilar Santolaria, Jesús L Yániz

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Challenges ofInsects · 2025
    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

7 authors.

Jose DivasónDepartament of Mathematics and Computer Science, University of La Rioja, 26006 Logroño, Spain.ORCID 0000-0002-5173-128X
Ana RomeroDepartament of Mathematics and Computer Science, University of La Rioja, 26006 Logroño, Spain.ORCID 0000-0001-9745-417X
Francisco Javier Martinez-de-PisonDepartment of Mechanical Engineering, University of La Rioja, 26004 Logroño, Spain.ORCID 0000-0002-3063-7374
Matías CasalongueBIOFITER Research Group, Environmental Sciences Institute (IUCA), Department of Animal Production and Food Sciences, University of Zaragoza, 22071 Huesca, Spain.
Miguel A SilvestreDepartment of Cell Biology, Functional Biology and Physical Anthropology, University of Valencia, 46100 Burjassot, Spain.ORCID 0000-0001-9260-5792
Pilar SantolariaBIOFITER Research Group, Environmental Sciences Institute (IUCA), Department of Animal Production and Food Sciences, University of Zaragoza, 22071 Huesca, Spain.ORCID 0000-0001-8991-325X
Jesús L YánizBIOFITER Research Group, Environmental Sciences Institute (IUCA), Department of Animal Production and Food Sciences, University of Zaragoza, 22071 Huesca, Spain.ORCID 0000-0001-5316-1703

Funding

DGA-FSE A07_23RLa Rioja Government (Spain) INICIA 2023/02MCIU/AEI/10.13039/501100011033 PID2020-112673RB-I00MCIU/AEI/10.13039/501100011033 PID2020-116641GB-I00MCIU/AEI/10.13039/501100011033 and ERDF/EU PID2021-123219OB-I00
6 · The paper itself

Abstract

Varroa mites, scientifically identified as

Indexed as

Deep LearningSoftwareVarroidaeAnimalsBeekeepingBeesImage Processing, Computer-AssistedMite Infestationsdeep learningsmall object detectionVarroa mite detection

Identifiers

PMID38931612
PMCPMC11207890

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.