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Reproducibility, Specificity and Accuracy of Relative Quantification Using Spectral Library-based Data-independent Acquisition*

Overview of attention for article published in Molecular and Cellular Proteomics, November 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
21 X users

Citations

dimensions_citation
98 Dimensions

Readers on

mendeley
147 Mendeley
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Title
Reproducibility, Specificity and Accuracy of Relative Quantification Using Spectral Library-based Data-independent Acquisition*
Published in
Molecular and Cellular Proteomics, November 2019
DOI 10.1074/mcp.ra119.001714
Pubmed ID
Authors

Katalin Barkovits, Sandra Pacharra, Kathy Pfeiffer, Simone Steinbach, Martin Eisenacher, Katrin Marcus, Julian Uszkoreit

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 147 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 23%
Researcher 22 15%
Student > Master 15 10%
Student > Bachelor 8 5%
Other 6 4%
Other 17 12%
Unknown 45 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 43 29%
Chemistry 16 11%
Pharmacology, Toxicology and Pharmaceutical Science 9 6%
Agricultural and Biological Sciences 7 5%
Unspecified 3 2%
Other 16 11%
Unknown 53 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 January 2021.
All research outputs
#2,842,890
of 25,420,980 outputs
Outputs from Molecular and Cellular Proteomics
#477
of 3,223 outputs
Outputs of similar age
#59,914
of 381,868 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#16
of 36 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,223 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 381,868 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.