Evidence map›Paper›PMID 33490324›Full record

ArticleData in brief2021

UrbangEnCy: An emergency events dataset based on citizen sensors for monitoring urban scenarios in Ecuador.

Jorge Parraga-Alava, Roberth Alcivar-Cevallos, Leticia Vaca-Cardenas, Jaime Meza

Abstract read
In one paragraph

Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jorge Parraga-AlavaFacultad de Ciencias Informáticas, Universidad Técnica de Manabí, Avenida Jose María Urbina, Portoviejo 130104, Ecuador.
Roberth Alcivar-CevallosFacultad de Ciencias Informáticas, Universidad Técnica de Manabí, Avenida Jose María Urbina, Portoviejo 130104, Ecuador.
Leticia Vaca-CardenasFacultad de Ciencias Informáticas, Universidad Técnica de Manabí, Avenida Jose María Urbina, Portoviejo 130104, Ecuador.
Jaime MezaFacultad de Ciencias Informáticas, Universidad Técnica de Manabí, Avenida Jose María Urbina, Portoviejo 130104, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, the use of the citizen-sensors (people generating and sharing real data by social media) for detecting and disseminating emergency events in real-time have shown a considerable increase because people at the place of the event, as well as elsewhere, can quickly post relevant information on this type of alerts. Here, we present an emergency events dataset called

Indexed as

Citizen sensorsECU 911EcuadorEmergency eventsSocial mediaText mining

Identifiers

PMID33490324
PMCPMC7804594

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.