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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Custom CGH array profiling of copy number variations (CNVs) on chromosome 6p21.32 (HLA locus) in patients with venous malformations associated with multiple sclerosis
|
|---|---|
| Published in |
BMC Medical Genomics, April 2010
|
| DOI | 10.1186/1471-2350-11-64 |
| Pubmed ID | |
| Authors |
Alessandra Ferlini, Matteo Bovolenta, Marcella Neri, Francesca Gualandi, Alessandra Balboni, Anton Yuryev, Fabrizio Salvi, Donato Gemmati, Alberto Liboni, Paolo Zamboni |
| Abstract |
Multiple sclerosis (MS) is a complex disorder thought to result from an interaction between environmental and genetic predisposing factors which have not yet been characterised, although it is known to be associated with the HLA region on 6p21.32. Recently, a picture of chronic cerebrospinal venous insufficiency (CCSVI), consequent to stenosing venous malformation of the main extra-cranial outflow routes (VM), has been described in patients affected with MS, introducing an additional phenotype with possible pathogenic significance. |
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 % |
|---|---|---|
| Unknown | 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ghana | 1 | 2% |
| Unknown | 45 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 22% |
| Other | 6 | 13% |
| Student > Ph. D. Student | 5 | 11% |
| Professor | 5 | 11% |
| Student > Bachelor | 3 | 7% |
| Other | 12 | 26% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 52% |
| Agricultural and Biological Sciences | 5 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Social Sciences | 3 | 7% |
| Engineering | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 5 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 January 2020.
All research outputs
#7,355,485
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#501
of 2,444 outputs
Outputs of similar age
#33,855
of 104,882 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 21 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 78% 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 104,882 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 21 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 57% of its contemporaries.