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Activity
X Demographics
Mendeley demographics
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Attention Score in Context
| Title |
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
|
|---|---|
| Published in |
Science, May 2015
|
| DOI | 10.1126/science.1262110 |
| Pubmed ID | |
| Authors |
Kristin G. Ardlie, David S. Deluca, Ayellet V. Segrè, Timothy J. Sullivan, Taylor R. Young, Ellen T. Gelfand, Casandra A. Trowbridge, Julian B. Maller, Taru Tukiainen, Monkol Lek, Lucas D. Ward, Pouya Kheradpour, Benjamin Iriarte, Yan Meng, Cameron D. Palmer, Tõnu Esko, Wendy Winckler, Joel N. Hirschhorn, Manolis Kellis, Daniel G. MacArthur, Gad Getz, Andrey A. Shabalin, Gen Li, Yi-Hui Zhou, Andrew B. Nobel, Ivan Rusyn, Fred A. Wright, Tuuli Lappalainen, Pedro G. Ferreira, Halit Ongen, Manuel A. Rivas, Alexis Battle, Sara Mostafavi, Jean Monlong, Michael Sammeth, Marta Mele, Ferran Reverter, Jakob M. Goldmann, Daphne Koller, Roderic Guigó, Mark I. McCarthy, Emmanouil T. Dermitzakis, Eric R. Gamazon, Hae Kyung Im, Anuar Konkashbaev, Dan L. Nicolae, Nancy J. Cox, Timothée Flutre, Xiaoquan Wen, Matthew Stephens, Jonathan K. Pritchard, Zhidong Tu, Bin Zhang, Tao Huang, Quan Long, Luan Lin, Jialiang Yang, Jun Zhu, Jun Liu, Amanda Brown, Bernadette Mestichelli, Denee Tidwell, Edmund Lo, Mike Salvatore, Saboor Shad, Jeffrey A. Thomas, John T. Lonsdale, Michael T. Moser, Bryan M. Gillard, Ellen Karasik, Kimberly Ramsey, Christopher Choi, Barbara A. Foster, John Syron, Johnell Fleming, Harold Magazine, Rick Hasz, Gary D. Walters, Jason P. Bridge, Mark Miklos, Susan Sullivan, Laura K. Barker, Heather M. Traino, Maghboeba Mosavel, Laura A. Siminoff, Dana R. Valley, Daniel C. Rohrer, Scott D. Jewell, Philip A. Branton, Leslie H. Sobin, Mary Barcus, Liqun Qi, Jeffrey McLean, Pushpa Hariharan, Ki Sung Um, Shenpei Wu, David Tabor, Charles Shive, Anna M. Smith, Stephen A. Buia, Anita H. Undale, Karna L. Robinson, Nancy Roche, Kimberly M. Valentino, Angela Britton, Robin Burges, Debra Bradbury, Kenneth W. Hambright, John Seleski, Greg E. Korzeniewski, Kenyon Erickson, Yvonne Marcus, Jorge Tejada, Mehran Taherian, Chunrong Lu, Margaret Basile, Deborah C. Mash, Simona Volpi, Jeffery P. Struewing, Gary F. Temple, Joy Boyer, Deborah Colantuoni, Roger Little, Susan Koester, Latarsha J. Carithers, Helen M. Moore, Ping Guan, Carolyn Compton, Sherilyn J. Sawyer, Joanne P. Demchok, Jimmie B. Vaught, Chana A. Rabiner, Nicole C. Lockhart, Kristin G. Ardlie, Gad Getz, Fred A. Wright, Manolis Kellis, Simona Volpi, Emmanouil T. Dermitzakis |
| Abstract |
Understanding the functional consequences of genetic variation, and how it affects complex human disease and quantitative traits, remains a critical challenge for biomedicine. We present an analysis of RNA sequencing data from 1641 samples across 43 tissues from 175 individuals, generated as part of the pilot phase of the Genotype-Tissue Expression (GTEx) project. We describe the landscape of gene expression across tissues, catalog thousands of tissue-specific and shared regulatory expression quantitative trait loci (eQTL) variants, describe complex network relationships, and identify signals from genome-wide association studies explained by eQTLs. These findings provide a systematic understanding of the cellular and biological consequences of human genetic variation and of the heterogeneity of such effects among a diverse set of human tissues. |
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X Demographics
The data shown below were collected from the profiles of 124 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 States | 41 | 33% |
| Spain | 7 | 6% |
| United Kingdom | 7 | 6% |
| France | 5 | 4% |
| Canada | 4 | 3% |
| Australia | 3 | 2% |
| Brazil | 2 | 2% |
| Norway | 2 | 2% |
| Germany | 2 | 2% |
| Other | 14 | 11% |
| Unknown | 37 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 66 | 53% |
| Scientists | 55 | 44% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley demographics
The data shown below were compiled from readership statistics for 3,162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 38 | 1% |
| United Kingdom | 11 | <1% |
| Spain | 10 | <1% |
| Germany | 7 | <1% |
| Canada | 6 | <1% |
| Brazil | 4 | <1% |
| Denmark | 4 | <1% |
| France | 3 | <1% |
| Sweden | 3 | <1% |
| Other | 25 | <1% |
| Unknown | 3051 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 750 | 24% |
| Researcher | 678 | 21% |
| Student > Master | 268 | 8% |
| Student > Bachelor | 227 | 7% |
| Student > Doctoral Student | 139 | 4% |
| Other | 493 | 16% |
| Unknown | 607 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 850 | 27% |
| Biochemistry, Genetics and Molecular Biology | 795 | 25% |
| Medicine and Dentistry | 224 | 7% |
| Computer Science | 145 | 5% |
| Neuroscience | 100 | 3% |
| Other | 315 | 10% |
| Unknown | 733 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 242. 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 16 June 2026.
All research outputs
#195,227
of 34,347,181 outputs
Outputs from Science
#5,372
of 93,986 outputs
Outputs of similar age
#1,658
of 307,902 outputs
Outputs of similar age from Science
#84
of 1,326 outputs
Altmetric has tracked 34,347,181 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 93,986 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.0. This one has done particularly well, scoring higher than 94% 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 307,902 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 1,326 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 93% of its contemporaries.