Evidence map›Paper›PMID 38286027›Full record

ArticleJournal of the American Society for Mass Spectrometry2024

Can We Boost

Helga Hevér, Andrea Xue, Kinga Nagy, Kinga Komka, Károly Vékey, László Drahos, Ágnes Révész

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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 3 institutions in 1 country.

Helga HevérMS Proteomics Research Group, HUN-REN Research Centre for Natural Sciences, Magyar Tudósok körútja 2., Budapest H-1117, Hungary.
Andrea XueMS Proteomics Research Group, HUN-REN Research Centre for Natural Sciences, Magyar Tudósok körútja 2., Budapest H-1117, Hungary.
Kinga NagyMS Proteomics Research Group, HUN-REN Research Centre for Natural Sciences, Magyar Tudósok körútja 2., Budapest H-1117, Hungary.ORCID 0000-0002-0582-7133
Kinga KomkaDepartment of Chemical and Environmental Process Engineering, Budapest University of Technology and Economics, Budapest H-1111, Hungary.
Károly VékeyMS Proteomics Research Group, HUN-REN Research Centre for Natural Sciences, Magyar Tudósok körútja 2., Budapest H-1117, Hungary.
László DrahosMS Proteomics Research Group, HUN-REN Research Centre for Natural Sciences, Magyar Tudósok körútja 2., Budapest H-1117, Hungary.ORCID 0000-0001-9589-6652
Ágnes RévészMS Proteomics Research Group, HUN-REN Research Centre for Natural Sciences, Magyar Tudósok körútja 2., Budapest H-1117, Hungary.
HUN-REN Research Centre for Natural Sciences · HUBudapest University of Technology and Economics · HUEötvös Loránd University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High confidence and reproducibility are still challenges in bottom-up mass spectrometric

Indexed as

GlycopeptidesSearch EngineChromatography, LiquidPeptidesPolysaccharidesReproducibility of ResultsTandem Mass SpectrometryGlycopeptidesPeptidesPolysaccharidesbottom-up proteomicscollision energy optimizationgeneral linear modelglycan structureidentification scorelasso regressionN-glycosylationsearch enginetandem mass spectrometry

Identifiers

PMID38286027
PMCPMC10853973
OpenAlexW4391304236

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.