Evidence map›Paper›PMID 32790325›Full record

ArticleACS nano2020

Understanding and Mapping Sensitivity in MoS

Steven G Noyce, James L Doherty, Stefan Zauscher, Aaron D Franklin

Abstract read
In one paragraph

Article in ACS nano, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Steven G NoyceDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.ORCID http://orcid.org/0000-0002-2953-7560
James L DohertyDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.ORCID http://orcid.org/0000-0003-1571-0622
Stefan ZauscherDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, United States.ORCID http://orcid.org/0000-0002-2290-7178
Aaron D FranklinDepartment of Electrical & Computer Engineering, Duke University, Durham, North Carolina 27708, United States.ORCID http://orcid.org/0000-0002-1128-9327

Funding

Printed Electronic Biosensors for Point-of-Care Testing of Cardiovascular BiomarkersR01HL146849 · NHLBI · DUKE UNIVERSITY · PI FRANKLIN, AARON · 2019 to 2023
$2.6M
NHLBI NIH HHS R01 HL146849
6 · The paper itself

Abstract

Sensors based on two-dimensional (2D) field-effect transistors (FETs) are extremely sensitive and can detect charged analytes with attomolar limits of detection (LOD). Despite some impressive LODs, the operating mechanisms and factors that determine the signal-to-noise ratio in 2D FET-based sensors remain poorly understood. These uncertainties, coupled with an expansive design space for sensor layout and analyte positioning, result in a field with many reported highlights but limited collective progress. Here, we provide insight into sensing mechanisms of 2D molybdenum disulfide (MoS

Indexed as

2Dfield-effect transistorhotspotmolybdenum disulfidesensing mechanismsensorsignal-to-noise ratio

Identifiers

PMID32790325
PMCPMC7895328

What OpenQuestion holds

Textmetadata
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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.