| Title |
Enabling precision medicine via standard communication of HTS provenance, analysis, and results
|
|---|---|
| Published in |
PLoS Biology, December 2018
|
| DOI | 10.1371/journal.pbio.3000099 |
| Pubmed ID | |
| Authors |
Gil Alterovitz, Dennis Dean, Carole Goble, Michael R. Crusoe, Stian Soiland-Reyes, Amanda Bell, Anais Hayes, Anita Suresh, Anjan Purkayastha, Charles H. King, Dan Taylor, Elaine Johanson, Elaine E. Thompson, Eric Donaldson, Hiroki Morizono, Hsinyi Tsang, Jeet K. Vora, Jeremy Goecks, Jianchao Yao, Jonas S. Almeida, Jonathon Keeney, KanakaDurga Addepalli, Konstantinos Krampis, Krista M. Smith, Lydia Guo, Mark Walderhaug, Marco Schito, Matthew Ezewudo, Nuria Guimera, Paul Walsh, Robel Kahsay, Srikanth Gottipati, Timothy C. Rodwell, Toby Bloom, Yuching Lai, Vahan Simonyan, Raja Mazumder |
X Demographics
The data shown below were collected from the profiles of 38 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 | 15 | 39% |
| United Kingdom | 3 | 8% |
| Ireland | 2 | 5% |
| Portugal | 1 | 3% |
| Spain | 1 | 3% |
| France | 1 | 3% |
| Unknown | 15 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 74% |
| Scientists | 7 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 24% |
| Student > Ph. D. Student | 17 | 20% |
| Other | 6 | 7% |
| Student > Master | 6 | 7% |
| Student > Bachelor | 4 | 5% |
| Other | 7 | 8% |
| Unknown | 23 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 17% |
| Agricultural and Biological Sciences | 12 | 14% |
| Biochemistry, Genetics and Molecular Biology | 11 | 13% |
| Medicine and Dentistry | 4 | 5% |
| Engineering | 4 | 5% |
| Other | 13 | 16% |
| Unknown | 25 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. 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 31 August 2021.
All research outputs
#625,657
of 25,622,179 outputs
Outputs from PLoS Biology
#1,222
of 9,126 outputs
Outputs of similar age
#14,132
of 447,640 outputs
Outputs of similar age from PLoS Biology
#35
of 107 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,126 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 47.6. This one has done well, scoring higher than 86% 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 447,640 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 107 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 68% of its contemporaries.