The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Cantilever-like micromechanical sensors
Open accessAbstract
The field of cantilever-based sensing emerged in the mid-1990s and is today a well-known technology for label-free sensing which holds promise as a technique for cheap, portable, sensitive and highly parallel analysis systems. The research in sensor realization as well as sensor applications has increased significantly over the past 10 years. In this review we will present the basic modes of operation in cantilever-like micromechanical sensors and discuss optical and electrical means for signal transduction. The fundamental processes for realizing miniaturized cantilevers are described with focus on silicon- and polymer-based technologies. Examples of recent sensor applications are given covering such diverse fields as drug discovery, food diagnostics, material characterizations and explosives detection.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
Laser cooling of a nanomechanical oscillator into its quantum ground state
Chan, J., Alegre, T. P. M., Safavi-Naeini, A. H., Hill, J. T., Krause, A., Gröblacher, S., Aspelmeyer, M., & Painter, O. (2011) · Nature · doi:10.1038/nature10461 · Cited by 2,311
Weighing of biomolecules, single cells and single nanoparticles in fluid
Burg, T. P., Godin, M., Knudsen, S. M., Shen, W., Carlson, G., Foster, J. S., Babcock, K., & Manalis, S. R. (2007) · Nature · doi:10.1038/nature05741 · Cited by 1,213
Cited by
Chen, Y., Xu, P., Li, X., Ren, Y., & Deng, Y. (2018) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2018.03.180 · Cited by 75
Metadata
- Authors
- Boisen, A., Dohn, S., Keller, S. S., Schmid, S., & Tenje, M.
- Venue
- Reports on Progress in Physics
- Publisher
- IOP Publishing
- Published
- 2011-02-28
- Volume
- 74
- Issue
- 3
- Pages
- 036101
- ISSN
- 0034-4885 (ISSN-L)
- 1361-6633
- OpenAlex
- W2068935998
- Cited by
- 566
- References
- 3
- FWCI
- 37.21
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cantilever-like micromechanical sensors. https://app.cochat.ai/papers/10.1088/0034-4885/74/3/036101
- The paper
- Boisen, A., Dohn, S., Keller, S. S., Schmid, S., & Tenje, M. (2011). Cantilever-like micromechanical sensors. Reports on Progress in Physics. https://doi.org/10.1088/0034-4885/74/3/036101
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
