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Mendeley readers
Attention Score in Context
| Title |
Accuracy of popular automatic QT Interval algorithms assessed by a 'Gold Standard' and comparison with a Novel method: computer simulation study
|
|---|---|
| Published in |
BMC Cardiovascular Disorders, September 2005
|
| DOI | 10.1186/1471-2261-5-29 |
| Pubmed ID | |
| Authors |
Anthony Charles Hunt |
| Abstract |
Accurate measurement of the QT interval is very important from a clinical and pharmaceutical drug safety screening perspective. Expert manual measurement is both imprecise and imperfectly reproducible, yet it is used as the reference standard to assess the accuracy of current automatic computer algorithms, which thus produce reproducible but incorrect measurements of the QT interval. There is a scientific imperative to evaluate the most commonly used algorithms with an accurate and objective 'gold standard' and investigate novel automatic algorithms if the commonly used algorithms are found to be deficient. |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| Unknown | 21 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 23% |
| Other | 4 | 18% |
| Student > Ph. D. Student | 3 | 14% |
| Professor | 3 | 14% |
| Student > Master | 3 | 14% |
| Other | 3 | 14% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 36% |
| Engineering | 5 | 23% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Computer Science | 1 | 5% |
| Mathematics | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 4 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 03 June 2014.
All research outputs
#3,267,491
of 22,756,196 outputs
Outputs from BMC Cardiovascular Disorders
#139
of 1,602 outputs
Outputs of similar age
#6,222
of 59,076 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#2
of 4 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,602 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 91% 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 59,076 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 85% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.