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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A cost-effectiveness model of genetic testing for the evaluation of families with hypertrophic cardiomyopathy
|
|---|---|
| Published in |
Heart, November 2011
|
| DOI | 10.1136/heartjnl-2011-300368 |
| Pubmed ID | |
| Authors |
Jodie Ingles, Julie McGaughran, Paul A Scuffham, John Atherton, Christopher Semsarian |
| Abstract |
Traditional management of families with hypertrophic cardiomyopathy (HCM) involves periodic lifetime clinical screening of family members, an approach that does not identify all gene carriers owing to incomplete penetrance and significant clinical heterogeneity. Limitations in availability and cost have meant genetic testing is not part of routine clinical management for many HCM families. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 33% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 33% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Hong Kong | 1 | <1% |
| United States | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 103 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 14% |
| Student > Master | 13 | 12% |
| Student > Ph. D. Student | 11 | 10% |
| Other | 10 | 9% |
| Student > Bachelor | 9 | 8% |
| Other | 27 | 25% |
| Unknown | 22 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 41 | 38% |
| Biochemistry, Genetics and Molecular Biology | 17 | 16% |
| Agricultural and Biological Sciences | 7 | 7% |
| Nursing and Health Professions | 4 | 4% |
| Economics, Econometrics and Finance | 4 | 4% |
| Other | 11 | 10% |
| Unknown | 23 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 07 June 2021.
All research outputs
#7,026,799
of 25,067,172 outputs
Outputs from Heart
#2,653
of 6,084 outputs
Outputs of similar age
#59,285
of 251,901 outputs
Outputs of similar age from Heart
#12
of 37 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 6,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one has gotten more attention than average, scoring higher than 56% 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 251,901 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 76% of its contemporaries.
We're also able to compare this research output to 37 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 70% of its contemporaries.