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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Role of TPA I/D and PAI-1 4G/5G Polymorphisms in Multiple Sclerosis
|
|---|---|
| Published in |
Disease Markers, April 2014
|
| DOI | 10.1155/2014/362708 |
| Pubmed ID | |
| Authors |
Maja Živković, Nada Starčević Čizmarević, Luca Lovrečić, Inge Klupka-Sarić, Aleksandra Stanković, Iva Gašparović, Polona Lavtar, Evica Dinčić, Ljiljana Stojković, Gorazd Rudolf, Saša Šega Jazbec, Olivio Perković, Osman Sinanović, Juraj Sepčić, Miljenko Kapović, Borut Peterlin, Smiljana Ristić |
| Abstract |
Previous studies have shown impaired fibrinolysis in multiple sclerosis (MS) and implicated extracellular proteolytic enzymes as important factors in demyelinating neuroinflammatory disorders. Tissue-type plasminogen activator (t-PA) and its inhibitor (PAI-1) are key molecules in both fibrinolysis and extracellular proteolysis. In the present study, an association of the TPA Alu I/D and PAI-1 4G/5G polymorphisms with MS was analyzed within the Genomic Network for Multiple Sclerosis (GENoMS). |
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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 24% |
| Student > Bachelor | 4 | 12% |
| Other | 4 | 12% |
| Researcher | 4 | 12% |
| Professor | 3 | 9% |
| Other | 5 | 15% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 24% |
| Neuroscience | 7 | 21% |
| Medicine and Dentistry | 7 | 21% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Chemistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 24% |
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 20 January 2015.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Disease Markers
#985
of 1,363 outputs
Outputs of similar age
#194,482
of 224,349 outputs
Outputs of similar age from Disease Markers
#8
of 12 outputs
Altmetric has tracked 25,374,647 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 1,363 research outputs from this source. They receive a mean Attention Score of 3.2. 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 224,349 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 12 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.