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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic diversity and pathogenic variants as possible predictors of severity in a French sample of nonsyndromic heritable thoracic aortic aneurysms and dissections (nshTAAD)
|
|---|---|
| Published in |
Genetics in Medicine, February 2019
|
| DOI | 10.1038/s41436-019-0444-y |
| Pubmed ID | |
| Authors |
Pauline Arnaud, Nadine Hanna, Louise Benarroch, Mélodie Aubart, Laurence Bal, Patrice Bouvagnet, Tiffany Busa, Yves Dulac, Sophie Dupuis-Girod, Thomas Edouard, Laurence Faivre, Laurent Gouya, Didier Lacombe, Maud Langeois, Bruno Leheup, Olivier Milleron, Sophie Naudion, Sylvie Odent, Maria Tchitchinadze, Jacques Ropers, Guillaume Jondeau, Catherine Boileau |
X Demographics
The data shown below were collected from the profiles of 19 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 | 2 | 11% |
| United Kingdom | 2 | 11% |
| Spain | 2 | 11% |
| Brazil | 1 | 5% |
| Mexico | 1 | 5% |
| Unknown | 11 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 6 | 32% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 23% |
| Student > Ph. D. Student | 3 | 12% |
| Other | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 9 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 38% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Computer Science | 2 | 8% |
| Nursing and Health Professions | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 February 2020.
All research outputs
#3,273,342
of 25,867,969 outputs
Outputs from Genetics in Medicine
#1,069
of 2,964 outputs
Outputs of similar age
#75,032
of 458,483 outputs
Outputs of similar age from Genetics in Medicine
#30
of 60 outputs
Altmetric has tracked 25,867,969 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% 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 gotten more attention than average, scoring higher than 63% 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 458,483 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 60 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 50% of its contemporaries.