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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fast Quantitative Analysis of timsTOF PASEF Data with MSFragger and IonQuant
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, July 2020
|
| DOI | 10.1074/mcp.tir120.002048 |
| Pubmed ID | |
| Authors |
Fengchao Yu, Sarah E. Haynes, Guo Ci Teo, Dmitry M. Avtonomov, Daniel A. Polasky, Alexey I. Nesvizhskii |
X Demographics
The data shown below were collected from the profiles of 45 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 | 11 | 24% |
| Germany | 3 | 7% |
| Australia | 3 | 7% |
| India | 2 | 4% |
| Switzerland | 2 | 4% |
| Netherlands | 2 | 4% |
| United Kingdom | 1 | 2% |
| Russia | 1 | 2% |
| Spain | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 17 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 67% |
| Scientists | 14 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 214 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 19% |
| Student > Ph. D. Student | 39 | 18% |
| Student > Master | 23 | 11% |
| Student > Bachelor | 11 | 5% |
| Professor | 8 | 4% |
| Other | 24 | 11% |
| Unknown | 68 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 64 | 30% |
| Agricultural and Biological Sciences | 24 | 11% |
| Chemistry | 15 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 4% |
| Computer Science | 5 | 2% |
| Other | 25 | 12% |
| Unknown | 73 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 09 September 2022.
All research outputs
#999,371
of 25,837,817 outputs
Outputs from Molecular and Cellular Proteomics
#69
of 3,261 outputs
Outputs of similar age
#29,338
of 435,074 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#3
of 37 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,261 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 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 435,074 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 92% of its contemporaries.
We're also able to compare this research output to 37 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 91% of its contemporaries.