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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Medical Genome Initiative: moving whole-genome sequencing for rare disease diagnosis to the clinic
|
|---|---|
| Published in |
Genome Medicine, May 2020
|
| DOI | 10.1186/s13073-020-00748-z |
| Pubmed ID | |
| Authors |
Christian R. Marshall, David Bick, John W. Belmont, Stacie L. Taylor, Euan Ashley, David Dimmock, Vaidehi Jobanputra, Hutton M. Kearney, Shashikant Kulkarni, Heidi Rehm |
X Demographics
The data shown below were collected from the profiles of 53 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 | 20 | 38% |
| United Kingdom | 11 | 21% |
| Spain | 2 | 4% |
| Colombia | 1 | 2% |
| Ireland | 1 | 2% |
| Israel | 1 | 2% |
| France | 1 | 2% |
| Botswana | 1 | 2% |
| South Africa | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 10 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 51% |
| Scientists | 24 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 17% |
| Student > Master | 11 | 13% |
| Student > Bachelor | 11 | 13% |
| Student > Ph. D. Student | 8 | 9% |
| Professor | 5 | 6% |
| Other | 12 | 14% |
| Unknown | 26 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 33% |
| Medicine and Dentistry | 12 | 14% |
| Agricultural and Biological Sciences | 8 | 9% |
| Unspecified | 3 | 3% |
| Computer Science | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 27 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 09 February 2022.
All research outputs
#1,179,685
of 25,390,970 outputs
Outputs from Genome Medicine
#237
of 1,584 outputs
Outputs of similar age
#32,286
of 402,186 outputs
Outputs of similar age from Genome Medicine
#4
of 27 outputs
Altmetric has tracked 25,390,970 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,584 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has done well, scoring higher than 85% 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 402,186 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 91% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.