Evidence map›Paper›PMID 31013907›Full record

ArticleSensors (Basel, Switzerland)2019

A 0.0014 mm

Wendi Yang, Hanjun Jiang, Zhihua Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. A 0.002-mmSensors (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. A 0.026 mmMicromachines · 2020
    Article
  7. Wearables for the Next Pandemic.IEEE access : practical innovations, open solutions · 2020
    Article
  8. 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

3 authors.

Wendi YangInstitute of Microelectronics, Tsinghua University, Beijing 100084, China. yangwd13@mails.tsinghua.edu.cn.
Hanjun JiangInstitute of Microelectronics, Tsinghua University, Beijing 100084, China. jianghanjun@tsinghua.edu.cn.ORCID 0000-0003-4911-0748
Zhihua WangInstitute of Microelectronics, Tsinghua University, Beijing 100084, China. zhihua@tsinghua.edu.cn.

Funding

Beijing Engineering Research Center No. BG0149National Key R&D Program of China 2016YFC0105603National Natural Science Foundation of China 61661166010Suzhou-Tsinghua Innovation Leadership Program 2016SZ0214
6 · The paper itself

Abstract

This work presents a complementary metal-oxide-semiconductor (CMOS) ultra-low power temperature sensor chip for cold chain applications with temperatures down to -60 °C. The sensor chip is composed of a temperature-to-current converter to generate a current proportional to the absolute temperature (PTAT), a current controlled oscillator to convert the current to a frequency signal, and a counter as the frequency-to-digital converter. Unlike the conventional linear error calibration method, the nonlinear error of the PTAT current under the low temperature range is fully characterized based on the device model files provided by the foundry. Simulation has been performed, which clearly shows the nonlinear model is much more accurate than the linear model. A nonlinear error calibration method, which requires only two-point calibration, is then proposed. The temperature sensor chip has been designed and fabricated in a 0.13 μm CMOS process, with a total active die area of 0.0014 mm

Indexed as

CMOS temperature sensorcold chainnonlinear calibrationultra-low power

Identifiers

PMID31013907
PMCPMC6515268

What OpenQuestion holds

Textmetadata
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.