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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TMT Labeling for the Masses: A Robust and Cost-efficient, In-solution Labeling Approach* [S]
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, April 2019
|
| DOI | 10.1074/mcp.tir119.001385 |
| Pubmed ID | |
| Authors |
Jana Zecha, Shankha Satpathy, Tamara Kanashova, Shayan C Avanessian, M Harry Kane, Karl R Clauser, Philipp Mertins, Steven A Carr, Bernhard Kuster |
X Demographics
The data shown below were collected from the profiles of 61 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 | 16 | 26% |
| Australia | 5 | 8% |
| Germany | 4 | 7% |
| United Kingdom | 3 | 5% |
| Canada | 3 | 5% |
| India | 2 | 3% |
| Singapore | 2 | 3% |
| Spain | 1 | 2% |
| South Africa | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 18 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 39 | 64% |
| Scientists | 20 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 477 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 477 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 107 | 22% |
| Researcher | 78 | 16% |
| Student > Master | 53 | 11% |
| Student > Bachelor | 38 | 8% |
| Student > Doctoral Student | 19 | 4% |
| Other | 56 | 12% |
| Unknown | 126 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 163 | 34% |
| Chemistry | 62 | 13% |
| Agricultural and Biological Sciences | 47 | 10% |
| Medicine and Dentistry | 11 | 2% |
| Immunology and Microbiology | 10 | 2% |
| Other | 50 | 10% |
| Unknown | 134 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 14 February 2023.
All research outputs
#877,917
of 26,017,215 outputs
Outputs from Molecular and Cellular Proteomics
#56
of 3,275 outputs
Outputs of similar age
#19,933
of 370,305 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#1
of 45 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,275 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 98% 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 370,305 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 94% of its contemporaries.
We're also able to compare this research output to 45 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.