Cited by 89SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research StudiesCOVID-19 epidemiological studies

Correlates of protection from SARS-CoV-2 infection

Open access
Krammer, Florian·2021·The Lancet

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s0140-6736(21)00782-0

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Krammer, F.
Affiliations
Icahn School of Medicine at Mount Sinai (US)
Corresponding author
Krammer, Florian
Venue
The Lancet
Publisher
Elsevier BV
Published
2021-04
Volume
397
Issue
10283
Pages
1421-1423
ISSN
  • 0099-5355 (ISSN-L)
  • 0140-6736
OpenAlex
W3153040293
Cited by
89
References
17
Citations by year
2026: 1 · 2025: 3 · 2024: 6 · 2023: 8 · 2022: 36 · 2021: 35
FWCI
6.66
Type
journal article
Language
en
Open access
Locations
  • The Lancet (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Bill & Melinda Gates Foundation
  • NIAID
  • JPB Foundation
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
Keywords
SARS-CoV-2, COVID-19 pandemic, reinfection, neutralizing antibodies, protective immunity, passive transfer, correlates of protection
MeSH terms
Reinfection, COVID-19, SARS-CoV-2, Antibodies, Viral, Humans, Immunity, Mucosal, Viral Load, Antibodies, Neutralizing

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review