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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of a novel biomarker candidate, a 4.8-kDa peptide fragment from a neurosecretory protein VGF precursor, by proteomic analysis of cerebrospinal fluid from children with acute encephalopathy using SELDI-TOF-MS
|
|---|---|
| Published in |
BMC Neurology, August 2011
|
| DOI | 10.1186/1471-2377-11-101 |
| Pubmed ID | |
| Authors |
Takeshi Asano, Shinya Koizumi, Atsushi Takagi, Takayuki Hatori, Kentaroh Kuwabara, Osamu Fujino, Yoshitaka Fukunaga |
| Abstract |
Acute encephalopathy includes rapid deterioration and has a poor prognosis. Early intervention is essential to prevent progression of the disease and subsequent neurologic complications. However, in the acute period, true encephalopathy cannot easily be differentiated from febrile seizures, especially febrile seizures of the complex type. Thus, an early diagnostic marker has been sought in order to enable early intervention. The purpose of this study was to identify a novel marker candidate protein differentially expressed in the cerebrospinal fluid (CSF) of children with encephalopathy using proteomic analysis. |
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 % |
|---|---|---|
| United States | 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 57 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 25% |
| Researcher | 8 | 14% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Other | 13 | 22% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 25% |
| Agricultural and Biological Sciences | 12 | 20% |
| Nursing and Health Professions | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Psychology | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 9 | 15% |
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 12 August 2011.
All research outputs
#15,233,109
of 22,649,029 outputs
Outputs from BMC Neurology
#1,473
of 2,408 outputs
Outputs of similar age
#85,283
of 120,747 outputs
Outputs of similar age from BMC Neurology
#26
of 35 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,408 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 26th percentile – i.e., 26% 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 120,747 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 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.