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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Dual Transcriptomic and Molecular Machine Learning Predicts all Major Clinical Forms of Drug Cardiotoxicity
|
|---|---|
| Published in |
Frontiers in Pharmacology, May 2020
|
| DOI | 10.3389/fphar.2020.00639 |
| Pubmed ID | |
| Authors |
Polina Mamoshina, Alfonso Bueno-Orovio, Blanca Rodriguez |
X Demographics
The data shown below were collected from the profiles of 31 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 | 6 | 19% |
| India | 4 | 13% |
| Germany | 2 | 6% |
| United States | 2 | 6% |
| Israel | 1 | 3% |
| United Arab Emirates | 1 | 3% |
| Switzerland | 1 | 3% |
| Australia | 1 | 3% |
| Spain | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 10 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 71% |
| Scientists | 7 | 23% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 20% |
| Student > Master | 7 | 13% |
| Student > Ph. D. Student | 5 | 9% |
| Other | 4 | 7% |
| Professor | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 20 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Engineering | 6 | 11% |
| Medicine and Dentistry | 5 | 9% |
| Social Sciences | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 23 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 01 July 2020.
All research outputs
#956,173
of 24,084,574 outputs
Outputs from Frontiers in Pharmacology
#333
of 17,950 outputs
Outputs of similar age
#27,842
of 393,475 outputs
Outputs of similar age from Frontiers in Pharmacology
#12
of 486 outputs
Altmetric has tracked 24,084,574 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 17,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 98% 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 393,475 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 486 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 97% of its contemporaries.