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Attention Score in Context
| Title |
Proteomics analysis after traumatic brain injury in rats: the search for potential biomarkers
|
|---|---|
| Published in |
Arquivos de Neuro-Psiquiatria, April 2015
|
| DOI | 10.1590/0004-282x20150006 |
| Pubmed ID | |
| Authors |
Jun Ding, Zhengang Ding, Fang Yuan, Jianyi Guo, Hao Chen, Wenwei Gao, Ren Wang, Yi Gu, Jiong Chen, Yan Guo, Hengli Tian |
| Abstract |
Many studies of protein expression after traumatic brain injury (TBI) have identified biomarkers for diagnosing or determining the prognosis of TBI. In this study, we searched for additional protein markers of TBI using a fluid perfusion impact device to model TBI in S-D rats. Two-dimensional gel electrophoresis and mass spectrometry were used to identify differentially expressed proteins. After proteomic analysis, we detected 405 and 371 protein spots within a pH range of 3-10 from sham-treated and contused brain cortex, respectively. Eighty protein spots were differentially expressed in the two groups and 20 of these proteins were identified. This study validated the established biomarkers of TBI and identified potential biomarkers that could be examined in future work. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 33% |
| Researcher | 3 | 20% |
| Student > Ph. D. Student | 3 | 20% |
| Professor | 2 | 13% |
| Other | 1 | 7% |
| Other | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 27% |
| Biochemistry, Genetics and Molecular Biology | 3 | 20% |
| Neuroscience | 3 | 20% |
| Nursing and Health Professions | 1 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 13% |
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 24 September 2015.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Arquivos de Neuro-Psiquiatria
#1,140
of 1,368 outputs
Outputs of similar age
#240,617
of 279,170 outputs
Outputs of similar age from Arquivos de Neuro-Psiquiatria
#30
of 39 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,368 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% 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 279,170 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.