Evidence map›Paper›PMID 28801884›Full record

ArticleJournal of the American Society for Mass Spectrometry2017

Identification and Partial Structural Characterization of Mass Isolated Valsartan and Its Metabolite with Messenger Tagging Vibrational Spectroscopy.

Olga Gorlova, Sean M Colvin, Antonio Brathwaite, Fabian S Menges, Stephanie M Craig, Scott J Miller, Mark A Johnson

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. AnAnalytical chemistry · 2023
    Article
  4. Article
  5. Article
  6. Article
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  8. Article
  9. Operation and Performance of a Mass-Selective Cryogenic Linear Ion Trap.Journal of the American Society for Mass Spectrometry · 2018
    Article
  10. Review
  11. 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

7 authors at 2 institutions in 2 countries.

Olga GorlovaDepartment of Chemistry, Yale University, New Haven, CT, 06520, USA.
Sean M ColvinDepartment of Chemistry, Yale University, New Haven, CT, 06520, USA.
Antonio BrathwaiteCollege of Science and Mathematics, University of the Virgin Islands, St. Thomas, 00802, Virgin Islands (U.S.).
Fabian S MengesDepartment of Chemistry, Yale University, New Haven, CT, 06520, USA.
Stephanie M CraigDepartment of Chemistry, Yale University, New Haven, CT, 06520, USA.
Scott J MillerDepartment of Chemistry, Yale University, New Haven, CT, 06520, USA.
Mark A JohnsonDepartment of Chemistry, Yale University, New Haven, CT, 06520, USA. mark.johnson@yale.edu.
Yale University · USUniversity of the Virgin Islands · VI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in the coupling of vibrational spectroscopy with mass spectrometry create new opportunities for the structural characterization of metabolites with great sensitivity. Previous studies have demonstrated this scheme on 300 K ions using very high power free electron lasers in the fingerprint region of the infrared. Here we extend the scope of this approach to a single investigator scale as well as extend the spectral range to include the OH stretching fundamentals. This is accomplished by detecting the IR absorptions in a linear action regime by photodissociation of weakly bound N

Indexed as

Conformer differentiationDrug discoveryIR-spectroscopyMass spectrometryMetaboliteMetabolomicsVibrational spectroscopy

Identifiers

PMID28801884
OpenAlexW2744079672

What OpenQuestion holds

Textmetadata
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.