Evidence map›Paper›PMID 34585731›Full record

ArticleDatabase : the journal of biological databases and curation2021

COVIDium: a COVID-19 resource compendium.

Rohit Satyam, Malik Yousef, Sahar Qazi, Adil Manzoor Bhat, Khalid Raza

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2021. 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. Article
  3. Coronavirus Immunotherapeutic Consortium Database.Database : the journal of biological databases and curation · 2023
    Article
  4. COVIDanno, COVID-19 annotation in human.Frontiers in microbiology · 2023
    Article
  5. CoVMBiomolecules · 2022
    Article
  6. 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

5 authors.

Rohit Satyam
Malik YousefDepartment of Information Systems, Zefat Academic College, Jerusalem St 11, Safed, Zefat 1320611, Israel.
Sahar QaziDepartment of Computer Science, Jamia Millia Islamia, Maulana Mohammad Ali Jauhar Marg, Jamia Nagar, Okhla, New Delhi 110025, India.
Adil Manzoor BhatDepartment of Computer Science, Jamia Millia Islamia, Maulana Mohammad Ali Jauhar Marg, Jamia Nagar, Okhla, New Delhi 110025, India.
Khalid RazaDepartment of Computer Science, Jamia Millia Islamia, Maulana Mohammad Ali Jauhar Marg, Jamia Nagar, Okhla, New Delhi 110025, India.ORCID 0000-0002-3646-6828

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severe acute respiratory syndrome coronavirus 2 that causes coronavirus disease 2019 (COVID-19) disrupted the normal functioning throughout the world since early 2020 and it continues to do so. Nonetheless, the global pandemic was taken up as a challenge by researchers across the globe to discover an effective cure, either in the form of a drug or vaccine. This resulted in an unprecedented surge of experimental and computational data and publications, which often translated their findings in the form of databases (DBs) and tools. Over 160 such DBs and more than 80 software tools were developed, which are uncharacterized, unannotated, deployed at different universal resource locators and are challenging to reach out through a normal web search. Besides, most of the DBs/tools are present on preprints and are either underutilized or unrecognized because of their inability to make it to top Google search hits. Henceforth, there was a need to crawl and characterize these DBs and create a compendium for easy referencing. The current article is one such concerted effort in this direction to create a COVID-19 resource compendium (COVIDium) that would facilitate the researchers to find suitable DBs and tools for their research studies. COVIDium tries to classify the DBs and tools into 11 broad categories for quick navigation. It also provides end-users some generic hit terms to filter the DB entries for quick access to the resources. Additionally, the DB provides Tracker Dashboard, Neuro Resources, references to COVID-19 datasets and protein-protein interactions. This compendium will be periodically updated to accommodate new resources. Database URL: The COVIDium is accessible through http://kraza.in/covidium/.

Indexed as

COVID-19Databases, FactualSoftwareHumansSARS-CoV-2

Identifiers

PMID34585731
PMCPMC8500058

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.