Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials.
- DOI
- 10.1021/acs.jcim.3c00746
- Published
- 2024 Apr 8
- Container
- Journal of chemical information and modeling
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1021/acs.jcim.3c00746,
title = {Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials.},
author = {Xie T and Wan Y and Wang H and Østrøm I and Wang S and He M and Deng R and Wu X and Grazian C and Kit C and Hoex B},
year = {2024},
journal = {Journal of chemical information and modeling},
doi = {10.1021/acs.jcim.3c00746},
url = {https://doi.org/10.1021/acs.jcim.3c00746}
}RIS
TY - JOUR TI - Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials. AU - Xie T AU - Wan Y AU - Wang H AU - Østrøm I AU - Wang S AU - He M AU - Deng R AU - Wu X AU - Grazian C AU - Kit C AU - Hoex B PY - 2024 JO - Journal of chemical information and modeling DO - 10.1021/acs.jcim.3c00746 UR - https://doi.org/10.1021/acs.jcim.3c00746 ER -
APA
T, X., Y, W., H, W., I, Ø., S, W., M, H., R, D., X, W., C, G., C, K., & B, H. (2024). Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials.. Journal of chemical information and modeling. https://doi.org/10.1021/acs.jcim.3c00746
Source records
- pubmed · retrieved 2026-11-10T11:41:06.076Z