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.
Mendeley readers
Attention Score in Context
| Title |
Candidate Proteins, Metabolites and Transcripts in the Biomarkers for Spinal Muscular Atrophy (BforSMA) Clinical Study
|
|---|---|
| Published in |
PLOS ONE, April 2012
|
| DOI | 10.1371/journal.pone.0035462 |
| Pubmed ID | |
| Authors |
Richard S. Finkel, Thomas O. Crawford, Kathryn J. Swoboda, Petra Kaufmann, Peter Juhasz, Xiaohong Li, Yu Guo, Rebecca H. Li, Felicia Trachtenberg, Suzanne J. Forrest, Dione T. Kobayashi, Karen S. Chen, Cynthia L. Joyce, Thomas Plasterer |
| Abstract |
Spinal Muscular Atrophy (SMA) is a neurodegenerative motor neuron disorder resulting from a homozygous mutation of the survival of motor neuron 1 (SMN1) gene. The gene product, SMN protein, functions in RNA biosynthesis in all tissues. In humans, a nearly identical gene, SMN2, rescues an otherwise lethal phenotype by producing a small amount of full-length SMN protein. SMN2 copy number inversely correlates with disease severity. Identifying other novel biomarkers could inform clinical trial design and identify novel therapeutic targets. |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 120 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 18% |
| Researcher | 20 | 16% |
| Student > Master | 15 | 12% |
| Other | 12 | 10% |
| Student > Bachelor | 10 | 8% |
| Other | 16 | 13% |
| Unknown | 29 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 16% |
| Agricultural and Biological Sciences | 20 | 16% |
| Medicine and Dentistry | 19 | 15% |
| Nursing and Health Professions | 8 | 6% |
| Neuroscience | 7 | 6% |
| Other | 17 | 14% |
| Unknown | 33 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 21 October 2021.
All research outputs
#4,145,236
of 22,664,644 outputs
Outputs from PLOS ONE
#58,564
of 193,509 outputs
Outputs of similar age
#28,167
of 163,320 outputs
Outputs of similar age from PLOS ONE
#845
of 3,700 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 68% 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 163,320 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 3,700 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.