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Attention Score in Context
| Title |
Bioinformatics Analysis Identifies p53 as a Candidate Prognostic Biomarker for Neuropathic Pain
|
|---|---|
| Published in |
Frontiers in Genetics, August 2018
|
| DOI | 10.3389/fgene.2018.00320 |
| Pubmed ID | |
| Authors |
Yibo Gao, Na Sun, Lieju Wang, Ying Wu, Longfei Ma, Juncong Hong, Jinxuan Ren, Bin Zhu, Lina Yu, Min Yan |
| Abstract |
Neuropathic pain (NP) is a type of chronic pain that is different from the common type of pain. The mechanisms of NP are still poorly understood. Exploring the key genes and neurobiological changes in NP could provide important diagnostic and treatment tools for clinicians. GSE24982 is an mRNA-seq dataset that we downloaded from the Gene Expression Omnibus database to identify key genes in NP. Differentially expressed genes (DEGs) were identified using the BRB-ArrayTools software and R. Functional and pathway enrichment analyses of the DEGs were performed using Metascape. A protein-protein interaction network was created and visualized using Cytoscape. A total of 123 upregulated DEGs were obtained. Among these genes, p53 was the node with the highest degree; hence, we validated it experimentally using a chronic constriction injury mouse model. Our results showed that overexpression of the p53 gene, and the subsequent increase in caspase-3 expression, in dorsal root ganglion neurons led to increased apoptotic changes in these neurons. p53 may therefore be partly responsible for the development of chronic constriction injury-induced NP. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 20% |
| Student > Doctoral Student | 3 | 15% |
| Student > Master | 2 | 10% |
| Researcher | 2 | 10% |
| Unspecified | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 15% |
| Agricultural and Biological Sciences | 3 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 10% |
| Neuroscience | 2 | 10% |
| Unspecified | 1 | 5% |
| Other | 4 | 20% |
| Unknown | 5 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 22 April 2019.
All research outputs
#2,907,352
of 23,102,082 outputs
Outputs from Frontiers in Genetics
#811
of 12,152 outputs
Outputs of similar age
#60,974
of 335,278 outputs
Outputs of similar age from Frontiers in Genetics
#30
of 204 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,152 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 93% 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 335,278 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 204 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.