Evidence map›Paper›PMID 37789184›Full record

ArticleNature methods2024

A practitioner's view of spectral flow cytometry.

Siddhartha Sharma, Josh Boyer, Luc Teyton

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Spectral Flow Cytometry: The Current State and Future of the Technology.International journal of molecular sciences · 2025
    Review
  9. Review
  10. Review
  11. Article
  12. 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

3 authors.

Siddhartha SharmaDepartment of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-8597-7547
Josh BoyerDepartment of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA.
Luc TeytonDepartment of Immunology and Microbiology, Scripps Research, La Jolla, CA, USA. lteyton@scripps.edu.

Funding

Early diagnosis and mechanistic studies of type 1 diabetes using single cell analysisR01DK117138 · NIDDK · SCRIPPS RESEARCH INSTITUTE, THE · PI TEYTON, LUC · 2019 to 2022
$3.2M
NRSA Training CoreTL1TR002551 · NCATS · SCRIPPS RESEARCH INSTITUTE, THE · PI TEYTON, LUC · 2018 to 2022
$1.2M
NCATS NIH HHS TL1 TR002551NIDDK NIH HHS R01 DK117138
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Flow Cytometry

Identifiers

PMID37789184
PMCPMC10991079

What OpenQuestion holds

Textmetadata
LicenceTDM
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.