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Mendeley readers
Attention Score in Context
| Title |
The diagnosis of inherited metabolic diseases by microarray gene expression profiling
|
|---|---|
| Published in |
Orphanet Journal of Rare Diseases, December 2010
|
| DOI | 10.1186/1750-1172-5-34 |
| Pubmed ID | |
| Authors |
Monica Arenas Hernandez, Reiner Schulz, Tracy Chaplin, Bryan D Young, David Perrett, Michael P Champion, Jan-Willem Taanman, Anthony Fensom, Anthony M Marinaki |
| Abstract |
Inherited metabolic diseases (IMDs) comprise a diverse group of generally progressive genetic metabolic disorders of variable clinical presentations and severity. We have undertaken a study using microarray gene expression profiling of cultured fibroblasts to investigate 68 patients with a broad range of suspected metabolic disorders, including defects of lysosomal, mitochondrial, peroxisomal, fatty acid, carbohydrate, amino acid, molybdenum cofactor, and purine and pyrimidine metabolism. We aimed to define gene expression signatures characteristic of defective metabolic pathways. |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Researcher | 6 | 18% |
| Student > Bachelor | 4 | 12% |
| Student > Master | 4 | 12% |
| Professor | 3 | 9% |
| Other | 6 | 18% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 30% |
| Biochemistry, Genetics and Molecular Biology | 8 | 24% |
| Medicine and Dentistry | 6 | 18% |
| Neuroscience | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 5 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 04 February 2020.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Orphanet Journal of Rare Diseases
#1,083
of 2,615 outputs
Outputs of similar age
#54,112
of 180,510 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#25
of 40 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,615 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 54% 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 180,510 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.