Evidence map›Paper›PMID 36009848›Full record

ReviewBiology2022

COVID-19-Related Scientific Literature Exploration: Short Survey and Comparative Study.

Bahaj Adil, Safae Lhazmir, Mounir Ghogho, Houda Benbrahim

Abstract readReview
In one paragraph

Review in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. A Hybrid Model Based on Improved Transformer and Graph Convolutional Network for COVID-19 Forecasting.International journal of environmental research and public health · 2022
    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.

Bahaj AdilTicLAB, International University of Rabat, Sala el Jadida 11103, Morocco.
Safae LhazmirTicLAB, International University of Rabat, Sala el Jadida 11103, Morocco.
Mounir GhoghoTicLAB, International University of Rabat, Sala el Jadida 11103, Morocco.ORCID 0000-0002-0055-7867
Houda BenbrahimENSIAS, Mohamed V University, Rabat 11000, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The urgency of the COVID-19 pandemic caused a surge in the related scientific literature. This surge made the manual exploration of scientific articles time-consuming and inefficient. Therefore, a range of exploratory search applications have been created to facilitate access to the available literature. In this survey, we give a short description of certain efforts in this direction and explore the different approaches that they used.

Indexed as

COVID-19document retrievalexploratory searchmachine learning

Identifiers

PMID36009848
PMCPMC9404775

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.