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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Next-generation Interactomics: Considerations for the Use of Co-elution to Measure Protein Interaction Networks*
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, December 2019
|
| DOI | 10.1074/mcp.r119.001803 |
| Pubmed ID | |
| Authors |
Daniela Salas, R Greg Stacey, Mopelola Akinlaja, Leonard J Foster |
X Demographics
The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 12% |
| Australia | 3 | 9% |
| United States | 3 | 9% |
| Poland | 1 | 3% |
| United Kingdom | 1 | 3% |
| Mexico | 1 | 3% |
| Japan | 1 | 3% |
| Malaysia | 1 | 3% |
| France | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 16 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 53% |
| Scientists | 15 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 19% |
| Student > Ph. D. Student | 13 | 16% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 8 | 10% |
| Professor > Associate Professor | 5 | 6% |
| Other | 12 | 15% |
| Unknown | 20 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 33% |
| Agricultural and Biological Sciences | 11 | 14% |
| Chemistry | 5 | 6% |
| Computer Science | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 10 | 12% |
| Unknown | 22 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 18 January 2021.
All research outputs
#1,977,538
of 25,604,262 outputs
Outputs from Molecular and Cellular Proteomics
#249
of 3,233 outputs
Outputs of similar age
#46,660
of 478,550 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#8
of 39 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,233 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 92% 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 478,550 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 90% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.