Evidence map›Paper›PMID 38222636›Full record

ArticleACS omega2024

Estimating the Bias of Model Compounds for the Determination of Species-Specific Protonation Constants.

Tamás Pálla, Zsolt Kolompár, Károly Mazák, Arash Mirzahosseini, Béla Noszál

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

5 authors at 1 institution in 1 country.

Tamás PállaDepartment of Pharmaceutical Chemistry, Semmelweis University, Budapest 1085, Hungary.ORCID https://orcid.org/0000-0002-1195-0621
Zsolt KolompárDepartment of Pharmaceutical Chemistry, Semmelweis University, Budapest 1085, Hungary.
Károly MazákDepartment of Pharmaceutical Chemistry, Semmelweis University, Budapest 1085, Hungary.
Arash MirzahosseiniDepartment of Pharmaceutical Chemistry, Semmelweis University, Budapest 1085, Hungary.ORCID https://orcid.org/0000-0002-3281-8435
Béla NoszálDepartment of Pharmaceutical Chemistry, Semmelweis University, Budapest 1085, Hungary.
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The previously unknown extent of the goodness of using model compounds for the microspeciation of polyprotic systems was studied. Mirror-symmetric dibasic compounds and their monosubstituted derivatives were investigated to quantify how the derivatives are appropriate models of the minor microspecies to be mimicked in various microspeciation systems. The results were analyzed using statistical methods. It was found that the respective O-methyl and S-methyl derivatives of phenols and thiols as well as the methyl esters of carboxylic acids are sufficiently good derivatives for microspeciation. It was also found that the methyl esters are superior to the carboxylic amides for modeling the -COOH moiety.

Identifiers

PMID38222636
PMCPMC10785783
OpenAlexW4390344796

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.