Evidence map›Paper›PMID 37543703›Full record

ArticleScientific data2023

Hyperlocal environmental data with a mobile platform in urban environments.

An Wang, Simone Mora, Yuki Machida, Priyanka deSouza, Sanjana Paul, Oluwatobi Oyinlola, Fábio Duarte, Carlo Ratti

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2023. 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Graphene/TiOSensors (Basel, Switzerland) · 2025
    Article
  7. Review
  8. Layered Heterostructure of Graphene and TiOACS applied materials & interfaces · 2024
    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

8 authors.

An WangSenseable City Lab, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, USA.ORCID http://orcid.org/0000-0002-1874-2702
Simone MoraSenseable City Lab, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, USA. moras@mit.edu.ORCID http://orcid.org/0000-0002-7991-1346
Yuki MachidaSenseable City Lab, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, USA.ORCID http://orcid.org/0009-0004-8771-642X
Priyanka deSouzaDepartment of Urban and Regional Planning, University of Colorado Denver, Denver, USA.
Sanjana PaulSenseable City Lab, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, USA.
Oluwatobi OyinlolaSenseable City Lab, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, USA.
Fábio DuarteSenseable City Lab, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, USA.
Carlo RattiSenseable City Lab, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental data with a high spatio-temporal resolution is vital in informing actions toward tackling urban sustainability challenges. Yet, access to hyperlocal environmental data sources is limited due to the lack of monitoring infrastructure, consistent data quality, and data availability to the public. This paper reports environmental data (PM, NO

Identifiers

PMID37543703
PMCPMC10404226

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.