You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Medulla oblongata transcriptome changes during presymptomatic natural scrapie and their association with prion-related lesions
|
|---|---|
| Published in |
BMC Genomics, August 2012
|
| DOI | 10.1186/1471-2164-13-399 |
| Pubmed ID | |
| Authors |
Hicham Filali, Inmaculada Martin-Burriel, Frank Harders, Luis Varona, Carmen Serrano, Cristina Acín, Juan J Badiola, Alex Bossers, Rosa Bolea |
| Abstract |
The pathogenesis of natural scrapie and other prion diseases is still poorly understood. Determining the variations in the transcriptome in the early phases of the disease might clarify some of the molecular mechanisms of the prion-induced pathology and allow for the development of new biomarkers for diagnosis and therapy. This study is the first to focus on the identification of genes regulated during the preclinical phases of natural scrapie in the ovine medulla oblongata (MO) and the association of these genes with prion deposition, astrocytosis and spongiosis. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 32% |
| Student > Ph. D. Student | 6 | 19% |
| Student > Bachelor | 3 | 10% |
| Professor | 3 | 10% |
| Student > Master | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 29% |
| Agricultural and Biological Sciences | 8 | 26% |
| Veterinary Science and Veterinary Medicine | 3 | 10% |
| Neuroscience | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 5 | 16% |
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 August 2012.
All research outputs
#15,249,959
of 22,675,759 outputs
Outputs from BMC Genomics
#6,658
of 10,614 outputs
Outputs of similar age
#95,339
of 149,519 outputs
Outputs of similar age from BMC Genomics
#74
of 113 outputs
Altmetric has tracked 22,675,759 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 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 149,519 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 113 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.