Evidence map›Paper›PMID 42450783›Full record

ArticleAnimals : an open access journal from MDPI2026

MECT-MobileViT: A Lightweight Fish Weight Prediction Model Based on Dual-View Morphological Feature Fusion and Anti-Interference Attention.

Yi Wang, Mingyu Tan, Jingtao Deng, Lin Yang, Yongjie Wu, Hao Peng, Cheng Ouyang, Yahui Luo, Wenwu Hu, Pin Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yi WangCollege of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China.
Mingyu TanCollege of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China.ORCID 0009-0004-1869-6269
Jingtao DengCollege of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China.
Lin YangCollege of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China.
Yongjie WuCollege of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China.
Hao PengCollege of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China.
Cheng OuyangCollege of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China.
Yahui LuoCollege of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China.
Wenwu HuCollege of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China.
Pin JiangCollege of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China.

Funding

Key Research and Development Program of Hunan 50262_620510125072Key Research and Development Program of Hunan Province of China 2025JJ50164
6 · The paper itself

Abstract

In intensive aquaculture, non-invasive real-time monitoring of morphological traits and body weight of largemouth bass (

Indexed as

body weight predictiondeep learningdual-viewmodel lightweightingmulti-scale fusion

Identifiers

PMID42450783
PMCPMC13360196

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.