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 |
Exploiting Interdata Relationships in Next-generation Proteomics Analysis*
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, May 2019
|
| DOI | 10.1074/mcp.mr118.001246 |
| Pubmed ID | |
| Authors |
Burcu Vitrinel, Hiromi W. L. Koh, Funda Mujgan Kar, Shuvadeep Maity, Justin Rendleman, Hyungwon Choi, Christine Vogel |
X Demographics
The data shown below were collected from the profiles of 20 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 | 9 | 45% |
| Norway | 1 | 5% |
| United Kingdom | 1 | 5% |
| Germany | 1 | 5% |
| Ireland | 1 | 5% |
| Unknown | 7 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 65% |
| Scientists | 4 | 20% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 26% |
| Student > Ph. D. Student | 13 | 13% |
| Student > Master | 9 | 9% |
| Other | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Other | 11 | 11% |
| Unknown | 29 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 31% |
| Agricultural and Biological Sciences | 12 | 12% |
| Chemistry | 6 | 6% |
| Computer Science | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 33 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 23 January 2020.
All research outputs
#2,052,433
of 25,420,980 outputs
Outputs from Molecular and Cellular Proteomics
#274
of 3,223 outputs
Outputs of similar age
#43,633
of 364,041 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#18
of 60 outputs
Altmetric has tracked 25,420,980 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 3,223 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 91% 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 364,041 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 88% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.