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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Non-Invasive Prenatal Diagnosis of Monogenic Disorders Through Bayesian- and Haplotype-Based Prediction of Fetal Genotype
|
|---|---|
| Published in |
Frontiers in Genetics, July 2022
|
| DOI | 10.3389/fgene.2022.911369 |
| Pubmed ID | |
| Authors |
Jia Li, Jiaqi Lu, Fengxia Su, Jiexia Yang, Jia Ju, Yu Lin, Jinjin Xu, Yiming Qi, Yaping Hou, Jing Wu, Wei He, Zhengtao Yang, Yujing Wu, Zhuangyuan Tang, Yingping Huang, Guohong Zhang, Ying Yang, Zhou Long, Xiaofang Cheng, Ping Liu, Jun Xia, Yanyan Zhang, Yicong Wang, Fang Chen, Jianguo Zhang, Lijian Zhao, Xin Jin, Ya Gao, Aihua Yin |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 10% |
| Student > Ph. D. Student | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 6 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 20% |
| Nursing and Health Professions | 1 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Unknown | 6 | 60% |
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 31 July 2022.
All research outputs
#15,866,981
of 24,176,645 outputs
Outputs from Frontiers in Genetics
#4,802
of 12,987 outputs
Outputs of similar age
#231,333
of 425,909 outputs
Outputs of similar age from Frontiers in Genetics
#219
of 912 outputs
Altmetric has tracked 24,176,645 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 12,987 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 55% 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 425,909 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 912 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.