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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Robust and Versatile Automated Glycoanalytical Technology for Serum Antibodies and Acute Phase Proteins: Ovarian Cancer Case Study*[S]
|
---|---|
Published in |
Molecular and Cellular Proteomics, August 2019
|
DOI | 10.1074/mcp.ra119.001531 |
Pubmed ID | |
Authors |
Róisín O'Flaherty, Mohankumar Muniyappa, Ian Walsh, Henning Stöckmann, Mark Hilliard, Richard Hutson, Radka Saldova, Pauline M Rudd |
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 % |
---|---|---|
Mexico | 3 | 18% |
United Kingdom | 2 | 12% |
Korea, Republic of | 1 | 6% |
Germany | 1 | 6% |
United States | 1 | 6% |
France | 1 | 6% |
Ireland | 1 | 6% |
Australia | 1 | 6% |
Unknown | 6 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 65% |
Scientists | 4 | 24% |
Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 27% |
Student > Ph. D. Student | 5 | 17% |
Lecturer | 1 | 3% |
Student > Bachelor | 1 | 3% |
Other | 1 | 3% |
Other | 3 | 10% |
Unknown | 11 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 23% |
Chemical Engineering | 3 | 10% |
Agricultural and Biological Sciences | 2 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 15 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 17 January 2021.
All research outputs
#4,112,605
of 25,420,980 outputs
Outputs from Molecular and Cellular Proteomics
#790
of 3,223 outputs
Outputs of similar age
#74,956
of 349,649 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#18
of 42 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% 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 well, scoring higher than 75% 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 349,649 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 78% of its contemporaries.
We're also able to compare this research output to 42 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 57% of its contemporaries.