You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Whole-genome sequence-based analysis of thyroid function
|
|---|---|
| Published in |
Nature Communications, March 2015
|
| DOI | 10.1038/ncomms6681 |
| Pubmed ID | |
| Authors |
Peter N. Taylor, Eleonora Porcu, Shelby Chew, Purdey J. Campbell, Michela Traglia, Suzanne J. Brown, Benjamin H. Mullin, Hashem A. Shihab, Josine Min, Klaudia Walter, Yasin Memari, Jie Huang, Michael R. Barnes, John P. Beilby, Pimphen Charoen, Petr Danecek, Frank Dudbridge, Vincenzo Forgetta, Celia Greenwood, Elin Grundberg, Andrew D. Johnson, Jennie Hui, Ee M. Lim, Shane McCarthy, Dawn Muddyman, Vijay Panicker, John R.B. Perry, Jordana T. Bell, Wei Yuan, Caroline Relton, Tom Gaunt, David Schlessinger, Goncalo Abecasis, Francesco Cucca, Gabriela L. Surdulescu, Wolfram Woltersdorf, Eleftheria Zeggini, Hou-Feng Zheng, Daniela Toniolo, Colin M. Dayan, Silvia Naitza, John P. Walsh, Tim Spector, George Davey Smith, Richard Durbin, J. Brent Richards, Serena Sanna, Nicole Soranzo, Nicholas J. Timpson, Scott G. Wilson |
| Abstract |
Normal thyroid function is essential for health, but its genetic architecture remains poorly understood. Here, for the heritable thyroid traits thyrotropin (TSH) and free thyroxine (FT4), we analyse whole-genome sequence data from the UK10K project (N=2,287). Using additional whole-genome sequence and deeply imputed data sets, we report meta-analysis results for common variants (MAF≥1%) associated with TSH and FT4 (N=16,335). For TSH, we identify a novel variant in SYN2 (MAF=23.5%, P=6.15 × 10(-9)) and a new independent variant in PDE8B (MAF=10.4%, P=5.94 × 10(-14)). For FT4, we report a low-frequency variant near B4GALT6/SLC25A52 (MAF=3.2%, P=1.27 × 10(-9)) tagging a rare TTR variant (MAF=0.4%, P=2.14 × 10(-11)). All common variants explain ≥20% of the variance in TSH and FT4. Analysis of rare variants (MAF<1%) using sequence kernel association testing reveals a novel association with FT4 in NRG1. Our results demonstrate that increased coverage in whole-genome sequence association studies identifies novel variants associated with thyroid function. |
X Demographics
The data shown below were collected from the profiles of 9 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 Kingdom | 5 | 56% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Denmark | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 161 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 25% |
| Student > Ph. D. Student | 17 | 10% |
| Student > Master | 12 | 7% |
| Professor > Associate Professor | 11 | 7% |
| Other | 10 | 6% |
| Other | 33 | 20% |
| Unknown | 41 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 17% |
| Medicine and Dentistry | 28 | 17% |
| Biochemistry, Genetics and Molecular Biology | 27 | 16% |
| Computer Science | 5 | 3% |
| Engineering | 4 | 2% |
| Other | 20 | 12% |
| Unknown | 53 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 September 2021.
All research outputs
#1,633,531
of 25,837,817 outputs
Outputs from Nature Communications
#23,159
of 58,118 outputs
Outputs of similar age
#20,234
of 276,162 outputs
Outputs of similar age from Nature Communications
#270
of 761 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,118 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has gotten more attention than average, scoring higher than 60% 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 276,162 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 92% of its contemporaries.
We're also able to compare this research output to 761 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 64% of its contemporaries.