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Mendeley readers
Attention Score in Context
| Title |
Chitotriosidase - a putative biomarker for sporadic amyotrophic lateral sclerosis
|
|---|---|
| Published in |
Clinical Proteomics, December 2013
|
| DOI | 10.1186/1559-0275-10-19 |
| Pubmed ID | |
| Authors |
Anu Mary Varghese, Aparna Sharma, Poojashree Mishra, Kalyan Vijayalakshmi, Hindalahalli Chandregowda Harsha, Talakad N Sathyaprabha, Srinivas MM Bharath, Atchayaram Nalini, Phalguni Anand Alladi, Trichur R Raju |
| Abstract |
Potential biomarkers to aid diagnosis and therapy need to be identified for Amyotrophic Lateral Sclerosis, a progressive motor neuronal degenerative disorder. The present study was designed to identify the factor(s) which are differentially expressed in the cerebrospinal fluid (CSF) of patients with sporadic amyotrophic lateral sclerosis (SALS; ALS-CSF), and could be associated with the pathogenesis of this disease. |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 20% |
| Researcher | 11 | 13% |
| Student > Bachelor | 9 | 11% |
| Other | 7 | 8% |
| Student > Master | 7 | 8% |
| Other | 13 | 15% |
| Unknown | 20 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 17 | 20% |
| Agricultural and Biological Sciences | 12 | 14% |
| Biochemistry, Genetics and Molecular Biology | 10 | 12% |
| Medicine and Dentistry | 10 | 12% |
| Computer Science | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 27 | 32% |
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 30 June 2021.
All research outputs
#7,436,181
of 22,733,113 outputs
Outputs from Clinical Proteomics
#91
of 281 outputs
Outputs of similar age
#92,352
of 307,218 outputs
Outputs of similar age from Clinical Proteomics
#5
of 6 outputs
Altmetric has tracked 22,733,113 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 281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 58% 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 307,218 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.