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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tandem Mass Tag Approach Utilizing Pervanadate BOOST Channels Delivers Deeper Quantitative Characterization of the Tyrosine Phosphoproteome*
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, February 2020
|
| DOI | 10.1074/mcp.tir119.001865 |
| Pubmed ID | |
| Authors |
Xien Yu Chua, Theresa Mensah, Timothy Aballo, Samuel G Mackintosh, Ricky D Edmondson, Arthur R Salomon |
X Demographics
The data shown below were collected from the profiles of 17 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 | 41% |
| Japan | 1 | 6% |
| India | 1 | 6% |
| Germany | 1 | 6% |
| Canada | 1 | 6% |
| Norway | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Scientists | 4 | 24% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 19% |
| Student > Ph. D. Student | 8 | 17% |
| Student > Master | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Unspecified | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 15 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 25% |
| Agricultural and Biological Sciences | 6 | 13% |
| Unspecified | 2 | 4% |
| Chemistry | 2 | 4% |
| Arts and Humanities | 1 | 2% |
| Other | 7 | 15% |
| Unknown | 18 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 25 January 2021.
All research outputs
#2,200,516
of 25,420,980 outputs
Outputs from Molecular and Cellular Proteomics
#313
of 3,223 outputs
Outputs of similar age
#50,141
of 382,953 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#10
of 35 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 90% 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 382,953 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 86% of its contemporaries.
We're also able to compare this research output to 35 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 71% of its contemporaries.