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Attention Score in Context
Chapter title |
Proteomics Analysis of Circulating Serum Exosomes
|
---|---|
Chapter number | 17 |
Book title |
Serum/Plasma Proteomics
|
Published in |
Methods in molecular biology, July 2017
|
DOI | 10.1007/978-1-4939-7057-5_17 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7056-8, 978-1-4939-7057-5
|
Authors |
Antonius Koller, Purvi Patel, Jenny Kim Kim, Emily I. Chen, Koller, Antonius, Patel, Purvi, Kim, Jenny Kim, Chen, Emily I. |
Editors |
David W. Greening, Richard J. Simpson |
Abstract |
Proteomics characterization of biofluids, such as urine and plasma, has been explored for the discovery of predictive, prognostic, and mechanistic biomarkers of diseases and tissue injury. Here we describe comprehensive characterization of protein cargos from cell-derived secreted vesicles (extracellular vesicles or exosome) for biomarker discovery using the mass spectrometry-based technology. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 29% |
Student > Ph. D. Student | 7 | 23% |
Student > Master | 4 | 13% |
Student > Bachelor | 3 | 10% |
Student > Doctoral Student | 2 | 6% |
Other | 3 | 10% |
Unknown | 3 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 35% |
Agricultural and Biological Sciences | 5 | 16% |
Medicine and Dentistry | 5 | 16% |
Immunology and Microbiology | 2 | 6% |
Neuroscience | 1 | 3% |
Other | 2 | 6% |
Unknown | 5 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 July 2017.
All research outputs
#20,433,667
of 22,986,950 outputs
Outputs from Methods in molecular biology
#9,929
of 13,149 outputs
Outputs of similar age
#273,455
of 313,617 outputs
Outputs of similar age from Methods in molecular biology
#204
of 264 outputs
Altmetric has tracked 22,986,950 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,149 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 313,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 264 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.