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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 29% |
Australia | 2 | 10% |
Czechia | 1 | 5% |
Denmark | 1 | 5% |
India | 1 | 5% |
Mexico | 1 | 5% |
United Kingdom | 1 | 5% |
Unknown | 8 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 48% |
Scientists | 9 | 43% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Practitioners (doctors, other healthcare professionals) | 1 | 5% |
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
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.