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X Demographics
Mendeley readers
Attention Score in Context
| Title |
miRNome traits analysis on endothelial lineage cells discloses biomarker potential circulating microRNAs which affect progenitor activities
|
|---|---|
| Published in |
BMC Genomics, September 2014
|
| DOI | 10.1186/1471-2164-15-802 |
| Pubmed ID | |
| Authors |
Ting-Yu Chang, Tse-Shun Huang, Hsei-Wei Wang, Shing-Jyh Chang, Hung-Hao Lo, Ya-Lin Chiu, Yen-Li Wang, Chung-Der Hsiao, Chin-Han Tsai, Chia-Hao Chan, Ren-In You, Chun-Hsien Wu, Tsung-Neng Tsai, Shu-Meng Cheng, Cheng-Chung Cheng |
| Abstract |
Endothelial progenitor cells (EPCs) play a fundamental role in not only blood vessel development but also post-natal vascular repair. Currently EPCs are defined as early and late EPCs based on their biological properties and their time of appearance during in vitro culture. Both EPC types assist angiogenesis and have been linked to ischemia-related disorders, including coronary artery disease (CAD). |
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 % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 23% |
| Student > Ph. D. Student | 8 | 19% |
| Student > Master | 7 | 16% |
| Student > Bachelor | 4 | 9% |
| Other | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 23% |
| Biochemistry, Genetics and Molecular Biology | 9 | 21% |
| Agricultural and Biological Sciences | 6 | 14% |
| Engineering | 3 | 7% |
| Nursing and Health Professions | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 9 | 21% |
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 2014.
All research outputs
#18,379,018
of 22,764,165 outputs
Outputs from BMC Genomics
#8,168
of 10,638 outputs
Outputs of similar age
#177,789
of 249,649 outputs
Outputs of similar age from BMC Genomics
#146
of 205 outputs
Altmetric has tracked 22,764,165 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 10,638 research outputs from this source. They receive a mean Attention Score of 4.7. 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 249,649 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.