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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Novel LC System Embeds Analytes in Pre-formed Gradients for Rapid, Ultra-robust Proteomics*
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, August 2018
|
| DOI | 10.1074/mcp.tir118.000853 |
| Pubmed ID | |
| Authors |
Nicolai Bache, Philipp E. Geyer, Dorte B. Bekker-Jensen, Ole Hoerning, Lasse Falkenby, Peter V. Treit, Sophia Doll, Igor Paron, Johannes B. Müller, Florian Meier, Jesper V. Olsen, Ole Vorm, Matthias Mann |
X Demographics
The data shown below were collected from the profiles of 22 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 | 7 | 32% |
| Australia | 3 | 14% |
| Norway | 1 | 5% |
| Canada | 1 | 5% |
| United Kingdom | 1 | 5% |
| Netherlands | 1 | 5% |
| Denmark | 1 | 5% |
| Unknown | 7 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 55% |
| Scientists | 9 | 41% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 329 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 329 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 73 | 22% |
| Student > Ph. D. Student | 66 | 20% |
| Student > Master | 33 | 10% |
| Student > Bachelor | 12 | 4% |
| Unspecified | 9 | 3% |
| Other | 40 | 12% |
| Unknown | 96 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 106 | 32% |
| Agricultural and Biological Sciences | 39 | 12% |
| Chemistry | 26 | 8% |
| Medicine and Dentistry | 10 | 3% |
| Unspecified | 9 | 3% |
| Other | 29 | 9% |
| Unknown | 110 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 30 July 2021.
All research outputs
#1,180,037
of 25,728,855 outputs
Outputs from Molecular and Cellular Proteomics
#91
of 3,242 outputs
Outputs of similar age
#24,342
of 342,209 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#9
of 55 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 95th percentile: it's in the top 5% 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 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 342,209 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 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.