Evidence map›Paper›PMID 35281539›Full record

ArticleJournal of healthcare engineering2022

Social Media Big Data Analysis: Towards Enhancing Competitiveness of Firms in a Post-Pandemic World.

Abdelaziz Darwiesh, Mohammed I Alghamdi, A H El-Baz, Mohamed Elhoseny

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2022. 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.

Abdelaziz DarwieshDepartment of Mathematics, Faculty of Science, Damietta University, New Damietta, Egypt.ORCID 0000-0002-6324-9829
Mohammed I AlghamdiDepartment of Engineering and Computer Sciences, Al-Baha University, Al Baha, Saudi Arabia.ORCID 0000-0002-9794-554X
A H El-BazDepartment of Computer Science, Faculty of Computers and Artificial Intelligence, Damietta University, New Damietta, Egypt.ORCID 0000-0002-3124-7749
Mohamed ElhosenyUniversity of Sharjah, Sharjah, UAE.ORCID 0000-0001-6347-8368

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we proposed an advanced business intelligence framework for firms in a post-pandemic phase to increase their performance and productivity. The proposed framework utilizes some of the most significant tools in this era, such as social media and big data analysis for business intelligence systems. In addition, we survey the most outstanding related papers to this study. Open challenges based on this framework are described as well, and a proposed methodology to minimize these challenges is given. Finally, the conclusion and further research points that are worth studying are discussed.

Indexed as

PandemicsSocial MediaBig DataCommerceHumans

Identifiers

PMID35281539
PMCPMC8913073

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.