The Controllability of

Jian Liu, Peng Zhao, Gang Wang, Tao Fang, Ye Yuan

Abstract read

In one paragraph

Article in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Bioinformatics analysis of the sodium-dependent neurotransmitter transporter family in Bursaphelenchus xylophilus.BMC genomics · 2026
Article

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

5 authors.

Jian LiuInstitute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai 200093, China.ORCID 0000-0002-5968-4318

Peng ZhaoShanghai Jiao Tong University, Shanghai 200240, China.

Gang WangInstitute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai 200093, China.

Tao FangShanghai Jiao Tong University, Shanghai 200240, China.

Ye YuanInstitute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai 200093, China.ORCID 0000-0002-6967-6856

Funding

Young Scientists Fund of the National Natural Science Foundation of China 62206175

6 · The paper itself

Abstract

Biological neural networks undergo dynamic structural and functional changes during development, yet how their controllability evolves across different life stages remains largely unexplored. Here, we investigate the neural network of

Indexed as

C. eleganscontrollabilityneural developmentneural networktarget control

Identifiers

PMID41294415

DOI10.3390/biomimetics10110744

PMCPMC12650474

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.