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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An automated plasma protein fractionation design: high-throughput perspectives for proteomic analysis
|
|---|---|
| Published in |
BMC Research Notes, November 2012
|
| DOI | 10.1186/1756-0500-5-612 |
| Pubmed ID | |
| Authors |
Claudia Boccardi, Silvia Rocchiccioli, Antonella Cecchettini, Alberto Mercatanti, Lorenzo Citti |
| Abstract |
Human plasma, representing the most complete record of the individual phenotype, is an appealing sample for proteomics analysis in clinical applications. Up to today, the major obstacle in a proteomics study of plasma is the large dynamic range of protein concentration and the efforts of many researchers focused on the resolution of this important drawback. |
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 Kingdom | 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 23% |
| Student > Master | 2 | 15% |
| Lecturer | 1 | 8% |
| Other | 1 | 8% |
| Researcher | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 4 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 23% |
| Engineering | 2 | 15% |
| Veterinary Science and Veterinary Medicine | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Computer Science | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 38% |
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 12 November 2012.
All research outputs
#15,256,044
of 22,685,926 outputs
Outputs from BMC Research Notes
#2,310
of 4,253 outputs
Outputs of similar age
#116,286
of 184,146 outputs
Outputs of similar age from BMC Research Notes
#51
of 75 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,253 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 33rd percentile – i.e., 33% 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 184,146 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.