Classifying the published evidence for peptides: PubMed and ClinicalTrials.gov matching and study-type classification (Peptide Library methodology v2026.1) v1

Versioned, CC BY 4.0 counts and classifications of PubMed publications and ClinicalTrials.gov registrations for 150+ peptides, by study type and evidence class (human clinical, animal, in vitro, reviews). This protocol documents how the Peptide Library Research Intelligence Center counts and classifies publications, so every number can be reproduced. Research and educational use only, not medical advice. Published by Peptide Library (Superfime LLC).

Authors

Publication Details

Published
2026-11-03
DOI
https://doi.org/10.17504/protocols.io.26g7rznxqvwz/v1
Primary Topic
scientometrics and bibliometrics research
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Classifying the published evidence for peptides: PubMed and ClinicalTrials.gov matching and study-type classification (Peptide Library methodology v2026.1) v1

Ryan De La Uz
scientometrics and bibliometrics research
preprint

Classifying the published evidence for peptides: PubMed and ClinicalTrials.gov matching and study-type classification (Peptide Library methodology v2026.1) v1

Ryan De La Uz
preprint en

Abstract

Versioned, CC BY 4.0 counts and classifications of PubMed publications and ClinicalTrials.gov registrations for 150+ peptides, by study type and evidence class (human clinical, animal, in vitro, reviews). This protocol documents how the Peptide Library Research Intelligence Center counts and classifies publications, so every number can be reproduced. Research and educational use only, not medical advice. Published by Peptide Library (Superfime LLC).

scientometrics and bibliometrics research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Classifying the published evidence for peptides: PubMed and ClinicalTrials.gov matching and study-type classification (Peptide Library methodology v2026.1) v1 — Ryan De La Uz · (2026) | TGRS Research Map | TGRS