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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PhenomeXcan: Mapping the genome to the phenome through the transcriptome
|
|---|---|
| Published in |
bioRxiv, November 2019
|
| DOI | 10.1101/833210 |
| Authors |
Milton Pividori, Padma S. Rajagopal, Alvaro Barbeira, Yanyu Liang, Owen Melia, Lisa Bastarache, YoSon Park, The GTEx Consortium, Xiaoquan Wen, Hae K. Im |
X Demographics
The data shown below were collected from the profiles of 88 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 | 36 | 41% |
| United Kingdom | 11 | 13% |
| Germany | 2 | 2% |
| Canada | 1 | 1% |
| China | 1 | 1% |
| Denmark | 1 | 1% |
| Belgium | 1 | 1% |
| Mexico | 1 | 1% |
| Italy | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 31 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 52 | 59% |
| Members of the public | 35 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 20% |
| Researcher | 14 | 17% |
| Student > Postgraduate | 3 | 4% |
| Student > Bachelor | 2 | 2% |
| Professor | 2 | 2% |
| Other | 3 | 4% |
| Unknown | 41 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 23% |
| Computer Science | 8 | 10% |
| Agricultural and Biological Sciences | 7 | 9% |
| Neuroscience | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 37 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 54. 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 14 March 2020.
All research outputs
#797,234
of 26,017,215 outputs
Outputs from bioRxiv
#344
of 4,926 outputs
Outputs of similar age
#17,783
of 385,509 outputs
Outputs of similar age from bioRxiv
#11
of 80 outputs
Altmetric has tracked 26,017,215 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 4,926 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.7. This one has done particularly well, scoring higher than 93% 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 385,509 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 95% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.