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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and performance evaluation of an artificial intelligence algorithm using cell-free DNA fragment distance for non-invasive prenatal testing (aiD-NIPT)
|
|---|---|
| Published in |
Frontiers in Genetics, November 2022
|
| DOI | 10.3389/fgene.2022.999587 |
| Pubmed ID | |
| Authors |
Junnam Lee, Sae-Mi Lee, Jin Mo Ahn, Tae-Rim Lee, Wan Kim, Eun-Hae Cho, Chang-Seok Ki |
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 % |
|---|---|---|
| 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 17% |
| Student > Bachelor | 2 | 17% |
| Researcher | 2 | 17% |
| Student > Ph. D. Student | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 17% |
| Medicine and Dentistry | 2 | 17% |
| Nursing and Health Professions | 1 | 8% |
| Computer Science | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 42% |
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 December 2022.
All research outputs
#15,733,296
of 23,979,951 outputs
Outputs from Frontiers in Genetics
#4,765
of 12,878 outputs
Outputs of similar age
#236,008
of 451,878 outputs
Outputs of similar age from Frontiers in Genetics
#197
of 774 outputs
Altmetric has tracked 23,979,951 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 12,878 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 451,878 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 774 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 63% of its contemporaries.