Evidence map›Paper›PMID 28710523›Full record

ArticleInternational journal of biometeorology2017

Short communication: emerging technologies for biometeorology.

Hamed Mehdipoor, Jennifer K Vanos, Raul Zurita-Milla, Guofeng Cao

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of biometeorology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. A web-based support system for biometeorological research.International journal of biometeorology · 2021
    Article
  3. Review
  4. Article
  5. Article
  6. Review
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.

Hamed MehdipoorFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands.
Jennifer K VanosScripps Institution of Oceanography and School of Medicine, University of California San Diego, La Jolla, CA, USA. jkvanos@ucsd.edu.
Raul Zurita-MillaFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands.
Guofeng CaoDepartment of Geosciences, Texas Tech University, Lubbock, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first decade of the twenty-first century saw remarkable technological advancements for use in biometeorology. These emerging technologies have allowed for the collection of new data and have further emphasized the need for specific and/or changing systems for efficient data management, data processing, and advanced representations of new data through digital information management systems. This short communication provides an overview of new hardware and software technologies that support biometeorologists in representing and understanding the influence of atmospheric processes on living organisms.

Indexed as

InventionsAnimalsComputersHumansMeteorologySoftwareTechnologyBiometeorological data processingBiometeorologyData acquisitionHardware technologySensorsSoftware technology

Identifiers

PMID28710523

What OpenQuestion holds

Textmetadata
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.