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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multiplex array proteomics detects increased MMP-8 in CSF after spinal cord injury
|
|---|---|
| Published in |
Journal of Neuroinflammation, June 2012
|
| DOI | 10.1186/1742-2094-9-122 |
| Pubmed ID | |
| Authors |
Matthew Light, Kenneth H Minor, Peter DeWitt, Kyle H Jasper, Stephen JA Davies |
| Abstract |
A variety of methods have been used to study inflammatory changes in the acutely injured spinal cord. Recently novel multiplex assays have been used in an attempt to overcome limitations in numbers of available targets studied in a single experiment. Other technical challenges in developing pre-clinical rodent models to investigate biomarkers in cerebrospinal fluid (CSF) include relatively small volumes of sample and low concentrations of target proteins. The primary objective of this study was to characterize the inflammatory profile present in CSF at a subacute time point in a clinically relevant rodent model of traumatic spinal cord injury (SCI). Our other aim was to test a microarray proteomics platform specifically for this application. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Unknown | 51 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Researcher | 8 | 15% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 4 | 8% |
| Professor | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 14 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 15% |
| Neuroscience | 7 | 13% |
| Agricultural and Biological Sciences | 6 | 11% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 18 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 July 2012.
All research outputs
#14,146,599
of 22,668,244 outputs
Outputs from Journal of Neuroinflammation
#1,553
of 2,605 outputs
Outputs of similar age
#98,647
of 167,349 outputs
Outputs of similar age from Journal of Neuroinflammation
#34
of 60 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,605 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 37th percentile – i.e., 37% 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 167,349 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.