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American College of Cardiology

Article Metrics

Age-predicted maximal heart rate revisited

Overview of attention for article published in Journal of the American College of Cardiology (JACC), January 2001
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
36 news outlets
blogs
2 blogs
twitter
29 tweeters
patent
2 patents
facebook
7 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
1349 Dimensions

Readers on

mendeley
1350 Mendeley
Title
Age-predicted maximal heart rate revisited
Published in
Journal of the American College of Cardiology (JACC), January 2001
DOI 10.1016/s0735-1097(00)01054-8
Pubmed ID
Authors

Hirofumi Tanaka, Kevin D Monahan, Douglas R Seals

Abstract

We sought to determine a generalized equation for predicting maximal heart rate (HRmax) in healthy adults. The age-predicted HRmax equation (i.e., 220 - age) is commonly used as a basis for prescribing exercise programs, as a criterion for achieving maximal exertion and as a clinical guide during diagnostic exercise testing. Despite its importance and widespread use, the validity of the HRmax equation has never been established in a sample that included a sufficient number of older adults. First, a meta-analytic approach was used to collect group mean HRmax values from 351 studies involving 492 groups and 18,712 subjects. Subsequently, the new equation was cross-validated in a well-controlled, laboratory-based study in which HRmax was measured in 514 healthy subjects. In the meta-analysis, HRmax was strongly related to age (r = -0.90), using the equation of 208 - 0.7 x age. The regression equation obtained in the laboratory-based study (209 - 0.7 x age) was virtually identical to that obtained from the meta-analysis. The regression line was not different between men and women, nor was it influenced by wide variations in habitual physical activity levels. 1) A regression equation to predict HRmax is 208 - 0.7 x age in healthy adults. 2) HRmax is predicted, to a large extent, by age alone and is independent of gender and habitual physical activity status. Our findings suggest that the currently used equation underestimates HRmax in older adults. This would have the effect of underestimating the true level of physical stress imposed during exercise testing and the appropriate intensity of prescribed exercise programs.

Twitter Demographics

The data shown below were collected from the profiles of 29 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1,350 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 13 <1%
United States 11 <1%
Brazil 9 <1%
Portugal 4 <1%
Canada 3 <1%
France 2 <1%
Japan 2 <1%
South Africa 2 <1%
Malaysia 2 <1%
Other 15 1%
Unknown 1287 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 290 21%
Student > Master 284 21%
Student > Ph. D. Student 179 13%
Researcher 108 8%
Student > Postgraduate 94 7%
Other 282 21%
Unknown 113 8%
Readers by discipline Count As %
Sports and Recreations 409 30%
Medicine and Dentistry 232 17%
Agricultural and Biological Sciences 116 9%
Nursing and Health Professions 100 7%
Engineering 76 6%
Other 236 17%
Unknown 181 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 339. 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 19 January 2020.
All research outputs
#36,459
of 14,156,268 outputs
Outputs from Journal of the American College of Cardiology (JACC)
#107
of 12,173 outputs
Outputs of similar age
#463
of 185,504 outputs
Outputs of similar age from Journal of the American College of Cardiology (JACC)
#1
of 215 outputs
Altmetric has tracked 14,156,268 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one has done particularly well, scoring higher than 99% 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 185,504 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 99% of its contemporaries.
We're also able to compare this research output to 215 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 99% of its contemporaries.