You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Circulating miR-30a, miR-126 and let-7b as biomarker for ischemic stroke in humans
|
|---|---|
| Published in |
BMC Neurology, November 2013
|
| DOI | 10.1186/1471-2377-13-178 |
| Pubmed ID | |
| Authors |
Guangwen Long, Feng Wang, Huaping Li, Zhongwei Yin, Chaugai Sandip, Yan Lou, Yan Wang, Chen Chen, Dao Wen Wang |
| Abstract |
Recently, plasma miRNAs have been reported as biomarkers for various diseases. However, the knowledge on the association of plasma miRNAs with ischemic stroke is still lacking. In this study, we investigated whether plasma concentrations of miR-30a, miR-126 and let-7b may be biomarkers for ischemic stroke in humans. |
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 % |
|---|---|---|
| Egypt | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
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 % |
|---|---|---|
| Russia | 1 | 1% |
| Unknown | 83 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 24% |
| Researcher | 13 | 15% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 6 | 7% |
| Student > Bachelor | 5 | 6% |
| Other | 13 | 15% |
| Unknown | 19 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 23% |
| Agricultural and Biological Sciences | 17 | 20% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Neuroscience | 5 | 6% |
| Computer Science | 3 | 4% |
| Other | 12 | 14% |
| Unknown | 21 | 25% |
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 16 November 2013.
All research outputs
#18,354,532
of 22,731,677 outputs
Outputs from BMC Neurology
#1,882
of 2,424 outputs
Outputs of similar age
#139,303
of 187,852 outputs
Outputs of similar age from BMC Neurology
#70
of 79 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,424 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 12th percentile – i.e., 12% 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 187,852 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 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.