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 |
Benefits of Collisional Cross Section Assisted Precursor Selection (caps-PASEF) for Cross-linking Mass Spectrometry
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, July 2020
|
| DOI | 10.1074/mcp.ra120.002094 |
| Pubmed ID | |
| Authors |
Barbara Steigenberger, Henk W.P. van den Toorn, Emiel Bijl, Jean-François Greisch, Oliver Räther, Markus Lubeck, Roland J. Pieters, Albert J.R. Heck, Richard A. Scheltema |
X Demographics
The data shown below were collected from the profiles of 40 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 | 15% |
| Netherlands | 5 | 13% |
| United Kingdom | 3 | 8% |
| Germany | 3 | 8% |
| France | 2 | 5% |
| Spain | 1 | 3% |
| Thailand | 1 | 3% |
| Peru | 1 | 3% |
| Japan | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 15 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 63% |
| Scientists | 14 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 86 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 21% |
| Researcher | 17 | 20% |
| Student > Master | 12 | 14% |
| Student > Bachelor | 7 | 8% |
| Professor | 4 | 5% |
| Other | 14 | 16% |
| Unknown | 14 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 32 | 37% |
| Agricultural and Biological Sciences | 12 | 14% |
| Chemistry | 10 | 12% |
| Unspecified | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 18 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 177. 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 July 2022.
All research outputs
#231,812
of 25,743,152 outputs
Outputs from Molecular and Cellular Proteomics
#5
of 3,243 outputs
Outputs of similar age
#7,389
of 430,622 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#1
of 38 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,243 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 99% 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 430,622 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 98% of its contemporaries.
We're also able to compare this research output to 38 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 97% of its contemporaries.