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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PolySTest: Robust Statistical Testing of Proteomics Data with Missing Values Improves Detection of Biologically Relevant Features
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, May 2020
|
| DOI | 10.1074/mcp.ra119.001777 |
| Pubmed ID | |
| Authors |
Veit Schwämmle, Christina E. Hagensen, Adelina Rogowska-Wrzesinska, Ole N. Jensen |
X Demographics
The data shown below were collected from the profiles of 26 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 | 23% |
| Denmark | 2 | 8% |
| France | 2 | 8% |
| Germany | 2 | 8% |
| Australia | 2 | 8% |
| Peru | 1 | 4% |
| India | 1 | 4% |
| Sweden | 1 | 4% |
| Spain | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 54% |
| Scientists | 11 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 29% |
| Researcher | 19 | 23% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 8 | 10% |
| Student > Doctoral Student | 3 | 4% |
| Other | 10 | 12% |
| Unknown | 12 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 34 | 40% |
| Agricultural and Biological Sciences | 16 | 19% |
| Chemistry | 4 | 5% |
| Medicine and Dentistry | 3 | 4% |
| Computer Science | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 15 | 18% |
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
#2,716,793
of 25,443,857 outputs
Outputs from Molecular and Cellular Proteomics
#443
of 3,224 outputs
Outputs of similar age
#72,950
of 424,400 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#16
of 43 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,224 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 86% 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 424,400 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 82% of its contemporaries.
We're also able to compare this research output to 43 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 65% of its contemporaries.