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Automated Assay of Telomere Length Measurement and Informatics for 100,000 Subjects in the Genetic Epidemiology Research on Adult Health and Aging (GERA) Cohort

Overview of attention for article published in Genetics, June 2015
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Citations

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70 Dimensions

Readers on

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109 Mendeley
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1 CiteULike
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Title
Automated Assay of Telomere Length Measurement and Informatics for 100,000 Subjects in the Genetic Epidemiology Research on Adult Health and Aging (GERA) Cohort
Published in
Genetics, June 2015
DOI 10.1534/genetics.115.178624
Pubmed ID
Authors

Kyle Lapham, Mark N. Kvale, Jue Lin, Sheryl Connell, Lisa A. Croen, Brad P. Dispensa, Lynn Fang, Stephanie Hesselson, Thomas J. Hoffmann, Carlos Iribarren, Eric Jorgenson, Lawrence H. Kushi, Dana Ludwig, Tetsuya Matsuguchi, William B. McGuire, Sunita Miles, Charles P. Quesenberry, Sarah Rowell, Marianne Sadler, Lori C. Sakoda, David Smethurst, Carol P. Somkin, Stephen K. Van Den Eeden, Lawrence Walter, Rachel A. Whitmer, Pui-Yan Kwok, Neil Risch, Catherine Schaefer, Elizabeth H. Blackburn

Abstract

The Kaiser Permanente Research Program on Genes, Environment and Health (RPGEH) Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort includes DNA specimens extracted from saliva samples of 110,266 individuals. Because of its relationship to aging, telomere length measurement was considered an important biomarker to develop on these subjects. To assay relative telomere length (TL) on this large cohort over a short time period, we created a novel high throughput robotic system for TL analysis and informatics. Samples were run in triplicate, along with control samples, in a randomized design. As part of quality control, we determined the within-sample variability and employed thresholds for the elimination of outlying measurements. Of 106,902 samples assayed, 105,539 (98.7%) passed all quality control (QC) measures. As expected, TL in general showed a decline with age and a sex difference. While telomeres showed a negative correlation with age up to 75 years, in those older than 75 years, age positively correlated with longer telomeres, indicative of an association of longer telomeres with more years of survival in those older than 75. Furthermore, while females in general had longer telomeres than males, this difference was significant only for those older than age 50. An additional novel finding was that the variance of TL between individuals increased with age. This study establishes reliable assay and analysis methodologies for measurement of TL in large, population-based human studies. The GERA cohort represents the largest currently available such resource, linked to comprehensive electronic health and genotype data for analysis.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Turkey 1 <1%
United States 1 <1%
Brazil 1 <1%
Unknown 104 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 24%
Student > Master 19 17%
Student > Ph. D. Student 17 16%
Student > Bachelor 9 8%
Professor 7 6%
Other 21 19%
Unknown 10 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 26%
Agricultural and Biological Sciences 20 18%
Medicine and Dentistry 20 18%
Psychology 6 6%
Immunology and Microbiology 5 5%
Other 12 11%
Unknown 18 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 20 August 2019.
All research outputs
#496,699
of 16,110,746 outputs
Outputs from Genetics
#162
of 5,183 outputs
Outputs of similar age
#8,410
of 234,437 outputs
Outputs of similar age from Genetics
#10
of 95 outputs
Altmetric has tracked 16,110,746 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,183 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done particularly well, scoring higher than 96% 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 234,437 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 96% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.