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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The clinical potential of blood-proteomics in multiple sclerosis
|
|---|---|
| Published in |
BMC Neurology, May 2013
|
| DOI | 10.1186/1471-2377-13-45 |
| Pubmed ID | |
| Authors |
Roberto De Masi, Sergio Pasca, Rocco Scarpello, Adele Idolo, Antonella De Donno |
| Abstract |
The aetiology of multiple sclerosis (MS) remains unknown. This hampers molecular diagnosis and the discovery of bio-molecular markers. Consequently, MS diagnostic procedures are complex and criteria for assessing therapeutic efficacy are controversial, suggesting that a pathophysiological rather than an aetiological approach to the disease would be more appropriate. In this regard, blood-proteomics represents a still-unexplored tool. We investigated the potential of proteomics as applied to peripheral blood mononuclear cells (PBMCs) for differentiating treatment-naive RR-MS patients from healthy controls and from IFN-treated RR-MS patients. |
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 % |
|---|---|---|
| Egypt | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 40 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 17% |
| Researcher | 7 | 17% |
| Student > Master | 6 | 14% |
| Other | 4 | 10% |
| Professor | 3 | 7% |
| Other | 11 | 26% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 43% |
| Agricultural and Biological Sciences | 8 | 19% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Neuroscience | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 5 | 12% |
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 21 May 2013.
All research outputs
#18,339,860
of 22,711,242 outputs
Outputs from BMC Neurology
#1,882
of 2,423 outputs
Outputs of similar age
#146,751
of 195,531 outputs
Outputs of similar age from BMC Neurology
#38
of 40 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,423 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 12th percentile – i.e., 12% 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 195,531 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 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.