Evidence map›Paper›PMID 34279247›Full record

ArticleMaterials (Basel, Switzerland)2021

Effect of Graphene on Modified Asphalt Microstructures Based on Atomic Force Microscopy.

Xian Li, Yanmin Wang, Yanling Wu, Huiru Wang, Qingliang Wang, Xingxing Zhu, Xiaocun Liu, Huadong Sun, Liang Fan

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 38 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Xian LiSchool of Traffic and Civil Engineering, Shandong Jiaotong University, Jinan 250300, China.
Yanmin WangSchool of Traffic and Civil Engineering, Shandong Jiaotong University, Jinan 250300, China.
Yanling WuSchool of Traffic and Civil Engineering, Shandong Jiaotong University, Jinan 250300, China.
Huiru WangSchool of Traffic and Civil Engineering, Shandong Jiaotong University, Jinan 250300, China.
Qingliang WangSchool of Traffic and Civil Engineering, Shandong Jiaotong University, Jinan 250300, China.
Xingxing ZhuSchool of Traffic and Civil Engineering, Shandong Jiaotong University, Jinan 250300, China.
Xiaocun LiuSchool of Traffic and Civil Engineering, Shandong Jiaotong University, Jinan 250300, China.
Huadong SunSchool of Traffic and Civil Engineering, Shandong Jiaotong University, Jinan 250300, China.
Liang FanShandong Transportation Institute, Jinan 250031, China.ORCID 0000-0002-6276-5004
Shandong Jiaotong University · CNShandong Transportation Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atomic force microscopy (AFM) was used to explore the effects of graphene modifier on the microstructure of asphalt. The morphologies of the before- and after-aged base asphalt and modified asphalt were performed and compared with analysis. The formation mechanism of asphaltic "bee structures" and the influence mechanism of graphene on asphalt were discussed from the classical theory of material science (phase transformation theory and diffusion theory). The results show that graphene facilitates the nucleation of "bee structures", resulting in an increasing number and decreasing volume of "bee structures" in modified asphalt. Additionally, the anti-aging performance of the modified asphalt improved significantly because of graphene incorporation.

Indexed as

AFManti-aging performancebee structuresgraphenephase transformation theory

Identifiers

PMID34279247
PMCPMC8269809
OpenAlexW3174465497

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.