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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The use of fetal exome sequencing in prenatal diagnosis: a points to consider document of the American College of Medical Genetics and Genomics (ACMG)
|
|---|---|
| Published in |
Genetics in Medicine, January 2020
|
| DOI | 10.1038/s41436-019-0731-7 |
| Pubmed ID | |
| Authors |
Kristin G. Monaghan, Natalia T. Leach, Dawn Pekarek, Priya Prasad, Nancy C. Rose |
X Demographics
The data shown below were collected from the profiles of 81 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 21% |
| Spain | 9 | 11% |
| Belgium | 3 | 4% |
| Colombia | 2 | 2% |
| Australia | 2 | 2% |
| Ireland | 2 | 2% |
| Luxembourg | 1 | 1% |
| Israel | 1 | 1% |
| Pakistan | 1 | 1% |
| Other | 9 | 11% |
| Unknown | 34 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 50 | 62% |
| Scientists | 22 | 27% |
| Practitioners (doctors, other healthcare professionals) | 8 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 137 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 14% |
| Researcher | 16 | 12% |
| Other | 12 | 9% |
| Student > Ph. D. Student | 11 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Other | 26 | 19% |
| Unknown | 45 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 40 | 29% |
| Medicine and Dentistry | 27 | 20% |
| Agricultural and Biological Sciences | 10 | 7% |
| Computer Science | 2 | 1% |
| Neuroscience | 2 | 1% |
| Other | 6 | 4% |
| Unknown | 50 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 83. 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 21 February 2023.
All research outputs
#525,830
of 25,839,971 outputs
Outputs from Genetics in Medicine
#128
of 2,964 outputs
Outputs of similar age
#12,818
of 480,318 outputs
Outputs of similar age from Genetics in Medicine
#3
of 47 outputs
Altmetric has tracked 25,839,971 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has done particularly well, scoring higher than 95% 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 480,318 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.