Evidence map›Paper›PMID 31274965›Full record

ArticleJournal of proteomics & bioinformatics2019

Visual mass-spec share (vMS-Share): a new public web-based mass spectrometry visualization and data mining repository.

Niksa Blonder, Benjamin C Orsburn, Josip Blonder, Carlos A Gonzalez

Abstract read
In one paragraph

Article in Journal of proteomics & bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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. Article
  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

4 authors.

Niksa BlonderChemical Sciences Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899-8380, United States.
Benjamin C OrsburnProteomic und Genomic Sciences, Columbia, Maryland 21406, United States.
Josip BlonderCancer Research Technology Program, Antibody Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland 21702, United States.
Carlos A GonzalezChemical Sciences Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899-8380, United States.

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Herein we introduce the Visual Mass-Spec Share (vMS-Share), a new public mass spectrometric (MS) repository and data mining website/resource freely accessible at https://vmsshare.nist.gov. vMS-Share is a web-based application developed for instant visualization of raw MS data with integrated display of metadata optimized for the sharing of proteomics and metabolomics experimental results. Each MS-based identification is linked to a given experiment and the entire experimental data can then be viewed using the link associated with a given peptide and/or small molecule. Interactive and user-friendly visualizations are provided to the user via variety of easily accessible search filters.

Indexed as

metabolomicsproteomicspublic repositoryraw data visualization/mining

Identifiers

PMID31274965
PMCPMC6605085

What OpenQuestion holds

Textmetadata
LicenceTDM
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.