Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 243

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Novel Parallelized Quadrupole/Linear Ion Trap/Orbitrap Tribrid Mass Spectrometer Improving Proteome Coverage and Peptide Identification Rates

Senko, Michael W., Remes, Philip M., Canterbury, Jesse D., Mathur, Raman, Song, Qingyu, Eliuk, Shannon M., Mullen, Chris, Earley, Lee, Hardman, Mark, Blethrow, Justin D., Bui, Huy, Specht, August, Lange, Oliver, Denisov, Eduard, Makarov, Alexander, Horning, Stevan, Zabrouskov, Vlad·2013·Analytical Chemistry

Abstract

Proteome coverage and peptide identification rates have historically advanced in line with improvements to the detection limits and acquisition rate of the mass spectrometer. For a linear ion trap/Orbitrap hybrid, the acquisition rate has been limited primarily by the duration of the ion accumulation and analysis steps. It is shown here that the spectral acquisition rate can be significantly improved through extensive parallelization of the acquisition process using a novel mass spectrometer incorporating quadrupole, Orbitrap, and linear trap analyzers. Further, these improvements to the acquisition rate continue to enhance proteome coverage and general experimental throughput.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/ac403115c

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 243

Metadata

Authors
Senko, M. W., Remes, P. M., Canterbury, J. D., Mathur, R., Song, Q., Eliuk, S. M., Mullen, C., Earley, L., Hardman, M., Blethrow, J. D., Bui, H., Specht, A., Lange, O., Denisov, E., Makarov, A., Horning, S., & Zabrouskov, V.
Venue
Analytical Chemistry
Published
2013-11-27
Volume
85
Issue
24
Pages
11710-11714
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
OpenAlex
W2318808232
Cited by
243
References
8
FWCI
10.14
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.