Evidence map›Paper›PMID 34691668›Full record

ArticleNational science review2021

When aggregation-induced emission meets protein aggregates.

Sicheng Tang, Songtao Ye, Xin Zhang

Abstract read
In one paragraph

Article in National science review, 2021. 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.

  1. 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

3 authors.

Sicheng TangDepartment of Chemistry.
Songtao YeDepartment of Chemistry.
Xin ZhangDepartment of Chemistry.ORCID https://orcid.org/0000-0001-6686-1645

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an unmet demand for research tools to monitor the multistep protein aggregation process in live cells, a process that has been associated with a growing number of human diseases. Recently, AIEgens have been developed to directly monitor the entire protein aggregation process in test tubes and live cells. Future application of AIEgens is expected to shed light on both diagnosis and treatment of disease rooted in protein aggregation.

Identifiers

PMID34691668
PMCPMC8288174

What OpenQuestion holds

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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.