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Mendeley readers
Attention Score in Context
Chapter title |
Targeting the proteome of cellular fractions: focus on secreted proteins.
|
---|---|
Chapter number | 2 |
Book title |
Clinical Proteomics
|
Published in |
Methods in molecular biology, October 2014
|
DOI | 10.1007/978-1-4939-1872-0_2 |
Pubmed ID | |
Book ISBNs |
978-1-4939-1871-3, 978-1-4939-1872-0
|
Authors |
Agnieszka Latosinska, Maria Frantzi, William Mullen, Antonia Vlahou, Manousos Makridakis, Manousos Makridakis Ph.D., Latosinska, Agnieszka, Frantzi, Maria, Mullen, William, Vlahou, Antonia, Makridakis, Manousos |
Editors |
Antonia Vlahou, Manousos Makridakis |
Abstract |
The high complexity of the total cellular proteome underscores the need for a more targeted investigation of particular subcellular fractions as a means to detect the changes at the level of low abundance proteins. However, this approach requires the application of an enrichment strategy. In this chapter, we present the protocols, which have been used for the analysis of secretome from cell lines, targeting the investigation of protein expression changes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Greece | 1 | 9% |
Unknown | 10 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 36% |
Professor | 2 | 18% |
Researcher | 2 | 18% |
Student > Postgraduate | 1 | 9% |
Unknown | 2 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 36% |
Biochemistry, Genetics and Molecular Biology | 2 | 18% |
Immunology and Microbiology | 1 | 9% |
Medicine and Dentistry | 1 | 9% |
Chemistry | 1 | 9% |
Other | 0 | 0% |
Unknown | 2 | 18% |
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 03 July 2015.
All research outputs
#17,731,702
of 22,770,070 outputs
Outputs from Methods in molecular biology
#7,189
of 13,090 outputs
Outputs of similar age
#174,124
of 258,575 outputs
Outputs of similar age from Methods in molecular biology
#47
of 126 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 39th percentile – i.e., 39% 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 258,575 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 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 50% of its contemporaries.