| Title |
MicroRNAs as potential biomarkers for noninvasive detection of fetal trisomy 21
|
|---|---|
| Published in |
Journal of Assisted Reproduction and Genetics, March 2015
|
| DOI | 10.1007/s10815-015-0429-y |
| Pubmed ID | |
| Authors |
Ji Hyae Lim, Da Eun Lee, Shin Young Kim, Hyun Jin Kim, Kyeong Sun Kim, You Jung Han, Min Hyoung Kim, Jun Seek Choi, Moon Young Kim, Hyun Mee Ryu, So Yeon Park |
| Abstract |
The objective of this study was to discover a panel of microRNAs (miRNAs) as potential biomarkers for noninvasive prenatal testing (NIPT) of trisomy 21 (T21) and to predict the biological functions of identified biomarkers using bioinformatics tools. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 22% |
| Researcher | 8 | 15% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 11 | 20% |
| Unknown | 12 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 33% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Agricultural and Biological Sciences | 7 | 13% |
| Neuroscience | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 11 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 March 2015.
All research outputs
#15,827,358
of 24,119,703 outputs
Outputs from Journal of Assisted Reproduction and Genetics
#919
of 1,697 outputs
Outputs of similar age
#149,231
of 262,729 outputs
Outputs of similar age from Journal of Assisted Reproduction and Genetics
#13
of 25 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,697 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 43rd percentile – i.e., 43% 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 262,729 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.