Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 815

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

The Xs and Y of immune responses to viral vaccines

Open access
Klein, Sabra L, Jedlicka, Anne, Pekosz, Andrew·2010·The Lancet Infectious Diseases

Abstract

The biological differences associated with an individual’s sex represent a major source of variation that impacts the immune response to vaccination. There are compelling clinical data illustrating that males and females differ in their innate, humoral, and cell-mediated responses to viral vaccines. Sex impacts the frequency and severity of adverse side effects of vaccination, including fever, pain, and inflammation. Pregnancy also can significantly alter immune responses to vaccines. Key aspects of the impact of sex and pregnancy on vaccination are presented using data drawn from clinical trials in humans as well as from animal models of vaccine efficacy and the groundwork is laid for future studies aimed at identifying the biological mechanisms, including genetic and hormonal factors, that underlie sex-specific responses to vaccines. An understanding and appreciation of the impact of sex and pregnancy on immune responses may alter the strategies used by public health officials to initiate efficient vaccination programs in the human population optimizing the timing and dose of the vaccine in order to maximize the number of people immunized, ensure sufficient levels of immune responses, minimize adverse side effects, and allow for more efficient protection of high priority populations.

Overview

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/s1473-3099(10)70049-9

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cites

Show all 7 references

Cited by

Metadata

Authors
Klein, S. L., Jedlicka, A., & Pekosz, A.
Venue
The Lancet Infectious Diseases
Publisher
Elsevier BV
Published
2010-05
Volume
10
Issue
5
Pages
338-349
ISSN
1473-3099 (ISSN-L)
OpenAlex
W2131643987
Cited by
815
References
7
FWCI
20.87
Type
journal article
Language
en
Open access
green

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.