Evidence map›Paper›PMID 32258828›Full record

ArticleBioactive materials2020

Mineralization of calcium phosphate controlled by biomimetic self-assembled peptide monolayers via surface electrostatic potentials.

Shuo Wang, Yongdong Yang, Ronghan Wang, Xiangdong Kong, Xiumei Wang

Open access · goldAbstract read
In one paragraph

Article in Bioactive materials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
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  10. Role of carboxylic organic molecules in interfibrillar collagen mineralization.Frontiers in bioengineering and biotechnology · 2023
    Review
  11. Understanding the Adhesion Mechanism of Hydroxyapatite-Binding Peptide.Langmuir : the ACS journal of surfaces and colloids · 2022
    Article
  12. Article
  13. 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 at 3 institutions in 1 country.

Shuo WangState Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials of Ministry of Education, School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, China.
Yongdong YangDongzhimen Hospital Affiliated Beijing University of Chinese Medicine, Beijing, 100700, China.
Ronghan WangState Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials of Ministry of Education, School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, China.
Xiangdong KongCollege of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Xiumei WangState Key Laboratory of New Ceramics and Fine Processing, Key Laboratory of Advanced Materials of Ministry of Education, School of Materials Science and Engineering, Tsinghua University, Beijing, 100084, China.
Tsinghua University · CNDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CNZhejiang Sci-Tech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functions of acidic-rich domains in non-collagenous protein during biomineralization are thought to induce nucleation and control the growth of hydroxyapatite. The tripeptide Asp-Ser-Ser (DSS) repeats are the most common acidic-rich repeated unit in non-collagenous protein of dentin phosphoprotein, the functions of which have aroused extensive interests. In this study, biomimetic peptides (DSS)

Indexed as

BiomineralizationDentin phosphoproteinHydroxyapatiteOligopeptidesSelf-assembled monolayer

Identifiers

PMID32258828
PMCPMC7113442
OpenAlexW3013479191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.