You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Fast and Accurate Protein False Discovery Rates on Large-Scale Proteomics Data Sets with Percolator 3.0
|
---|---|
Published in |
Journal of the American Society for Mass Spectrometry, August 2016
|
DOI | 10.1007/s13361-016-1460-7 |
Pubmed ID | |
Authors |
Matthew The, Michael J. MacCoss, William S. Noble, Lukas Käll |
X Demographics
The data shown below were collected from the profiles of 15 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 | 5 | 33% |
Mexico | 1 | 7% |
Sweden | 1 | 7% |
United Kingdom | 1 | 7% |
Taiwan | 1 | 7% |
South Africa | 1 | 7% |
Unknown | 5 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 67% |
Scientists | 4 | 27% |
Unknown | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
Germany | 2 | <1% |
Canada | 1 | <1% |
Unknown | 252 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 75 | 29% |
Researcher | 47 | 18% |
Student > Master | 32 | 12% |
Student > Bachelor | 14 | 5% |
Student > Doctoral Student | 13 | 5% |
Other | 23 | 9% |
Unknown | 53 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 85 | 33% |
Agricultural and Biological Sciences | 39 | 15% |
Chemistry | 18 | 7% |
Computer Science | 16 | 6% |
Immunology and Microbiology | 7 | 3% |
Other | 27 | 11% |
Unknown | 65 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 04 November 2023.
All research outputs
#2,260,448
of 25,870,940 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#82
of 3,909 outputs
Outputs of similar age
#38,025
of 350,829 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#1
of 51 outputs
Altmetric has tracked 25,870,940 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,909 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 97% 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 350,829 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 89% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.