| Title |
PhenomeXcan: Mapping the genome to the phenome through the transcriptome
|
|---|---|
| Published in |
Science Advances, September 2020
|
| DOI | 10.1126/sciadv.aba2083 |
| Pubmed ID | |
| Authors |
Milton Pividori, Padma S Rajagopal, Alvaro Barbeira, Yanyu Liang, Owen Melia, Lisa Bastarache, YoSon Park, GTEx Consortium, Xiaoquan Wen, Hae K Im |
X Demographics
The data shown below were collected from the profiles of 14 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 | 6 | 43% |
| Cyprus | 1 | 7% |
| Canada | 1 | 7% |
| France | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 50% |
| Members of the public | 6 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 172 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 27% |
| Researcher | 31 | 18% |
| Student > Bachelor | 12 | 7% |
| Student > Master | 9 | 5% |
| Professor | 8 | 5% |
| Other | 18 | 10% |
| Unknown | 47 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 52 | 30% |
| Agricultural and Biological Sciences | 22 | 13% |
| Computer Science | 12 | 7% |
| Medicine and Dentistry | 12 | 7% |
| Neuroscience | 4 | 2% |
| Other | 20 | 12% |
| Unknown | 50 | 29% |
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 30 August 2023.
All research outputs
#1,599,131
of 25,387,668 outputs
Outputs from Science Advances
#6,756
of 12,215 outputs
Outputs of similar age
#43,590
of 425,532 outputs
Outputs of similar age from Science Advances
#302
of 545 outputs
Altmetric has tracked 25,387,668 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 12,215 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.3. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 425,532 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 545 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.