Evidence map›Paper›PMID 34603656›Full record

ArticleChemical science2021

Peni Ahmadi, Kyohei Muguruma, Tsung-Che Chang, Satoru Tamura, Kazuki Tsubokura, Yasuko Egawa, Takehiro Suzuki, Naoshi Dohmae, Yoichi Nakao, Katsunori Tanaka

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chemical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

3 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

10 authors at 5 institutions in 2 countries.

Peni AhmadiBiofunctional Synthetic Chemistry, RIKEN Cluster for Pioneering Research 2-1 Hirosawa Wako Saitama 351-0198 Japan kotzenori@riken.jp.
Kyohei MugurumaDepartment of Chemical Science and Engineering, School of Materials and Chemical Technology, Tokyo Institute of Technology 2-12-1 Ookayama Meguro Tokyo 152-8552 Japan.
Tsung-Che ChangBiofunctional Synthetic Chemistry, RIKEN Cluster for Pioneering Research 2-1 Hirosawa Wako Saitama 351-0198 Japan kotzenori@riken.jp.
Satoru TamuraDepartment of Medicinal and Organic Chemistry, School of Pharmacy, Iwate Medical University Yahaba Iwate 028-3694 Japan.
Kazuki TsubokuraBiofunctional Synthetic Chemistry, RIKEN Cluster for Pioneering Research 2-1 Hirosawa Wako Saitama 351-0198 Japan kotzenori@riken.jp.
Yasuko EgawaBiofunctional Synthetic Chemistry, RIKEN Cluster for Pioneering Research 2-1 Hirosawa Wako Saitama 351-0198 Japan kotzenori@riken.jp.
Takehiro SuzukiBiomolecular Characterization Unit, RIKEN Center for Sustainable Resource Science 2-1 Hirosawa Wako Saitama 351-0198 Japan.
Naoshi DohmaeBiomolecular Characterization Unit, RIKEN Center for Sustainable Resource Science 2-1 Hirosawa Wako Saitama 351-0198 Japan.
Yoichi NakaoSchool of Advanced Science and Engineering, Department of Chemistry and Biochemistry, Waseda University 3-4-1 Okubo Shinjuku Tokyo 169-8555 Japan.
Katsunori TanakaBiofunctional Synthetic Chemistry, RIKEN Cluster for Pioneering Research 2-1 Hirosawa Wako Saitama 351-0198 Japan kotzenori@riken.jp.ORCID https://orcid.org/0000-0001-6932-4802
Pioneer (Japan) · JPRIKEN Center for Sustainable Resource Science · JPTokyo Institute of Technology · JPIwate Medical University · JPWaseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selective cell tagging (SeCT) therapy is a strategy for labeling a targeted cell with certain chemical moieties

Identifiers

PMID34603656
PMCPMC8480321
OpenAlexW3196342013

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.