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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quality Control Analysis in Real-time (QC-ART): A Tool for Real-time Quality Control Assessment of Mass Spectrometry-based Proteomics Data*
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, April 2018
|
| DOI | 10.1074/mcp.ra118.000648 |
| Pubmed ID | |
| Authors |
Bryan A Stanfill, Ernesto S Nakayasu, Lisa M Bramer, Allison M Thompson, Charles K Ansong, Therese R Clauss, Marina A Gritsenko, Matthew E Monroe, Ronald J Moore, Daniel J Orton, Paul D Piehowski, Athena A Schepmoes, Richard D Smith, Bobbie-Jo M Webb-Robertson, Thomas O Metz |
X Demographics
The data shown below were collected from the profiles of 33 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 | 14 | 42% |
| China | 1 | 3% |
| India | 1 | 3% |
| Singapore | 1 | 3% |
| Finland | 1 | 3% |
| Netherlands | 1 | 3% |
| Russia | 1 | 3% |
| United Kingdom | 1 | 3% |
| Spain | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 67% |
| Scientists | 7 | 21% |
| Practitioners (doctors, other healthcare professionals) | 3 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 23% |
| Student > Ph. D. Student | 10 | 14% |
| Professor | 5 | 7% |
| Other | 5 | 7% |
| Student > Master | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 23 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 22% |
| Medicine and Dentistry | 7 | 10% |
| Agricultural and Biological Sciences | 4 | 5% |
| Chemistry | 4 | 5% |
| Mathematics | 3 | 4% |
| Other | 12 | 16% |
| Unknown | 27 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 31 March 2020.
All research outputs
#1,619,280
of 25,728,855 outputs
Outputs from Molecular and Cellular Proteomics
#161
of 3,242 outputs
Outputs of similar age
#34,010
of 341,538 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#12
of 41 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,242 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 95% 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 341,538 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 41 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 70% of its contemporaries.