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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Polymorphisms in the genes coding for iron binding and transporting proteins are associated with disability, severity, and early progression in multiple sclerosis
|
|---|---|
| Published in |
BMC Medical Genomics, August 2012
|
| DOI | 10.1186/1471-2350-13-70 |
| Pubmed ID | |
| Authors |
Donato Gemmati, Giulia Zeri, Elisa Orioli, Francesca E De Gaetano, Fabrizio Salvi, Ilaria Bartolomei, Sandra D’Alfonso, Claudia Dall’Osso, Maurizio A Leone, Ajay V Singh, Rosanna Asselta, Paolo Zamboni |
| Abstract |
Iron involvement/imbalance is strongly suspected in multiple sclerosis (MS) etiopathogenesis, but its role is quite debated. Iron deposits encircle the veins in brain MS lesions, increasing local metal concentrations in brain parenchyma as documented by magnetic resonance imaging and histochemical studies. Conversely, systemic iron overload is not always observed. We explored the role of common single nucleotide polymorphisms (SNPs) in the main iron homeostasis genes in MS patients. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 5 | 33% |
| United States | 2 | 13% |
| United Kingdom | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 87% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 2% |
| Ghana | 1 | 2% |
| Unknown | 57 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 19% |
| Student > Ph. D. Student | 10 | 17% |
| Student > Bachelor | 9 | 15% |
| Other | 6 | 10% |
| Student > Master | 4 | 7% |
| Other | 12 | 20% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 32% |
| Biochemistry, Genetics and Molecular Biology | 9 | 15% |
| Agricultural and Biological Sciences | 8 | 14% |
| Neuroscience | 4 | 7% |
| Psychology | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 8 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 April 2017.
All research outputs
#2,264,349
of 25,436,226 outputs
Outputs from BMC Medical Genomics
#94
of 2,448 outputs
Outputs of similar age
#14,517
of 185,766 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 33 outputs
Altmetric has tracked 25,436,226 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,448 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 96% of its peers.
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 185,766 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.