| Title |
The Next Era: Deep Learning in Pharmaceutical Research
|
|---|---|
| Published in |
Pharmaceutical Research, September 2016
|
| DOI | 10.1007/s11095-016-2029-7 |
| Pubmed ID | |
| Authors |
Sean Ekins |
X Demographics
The data shown below were collected from the profiles of 17 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 | 3 | 18% |
| United Kingdom | 2 | 12% |
| Spain | 1 | 6% |
| Brazil | 1 | 6% |
| Turkey | 1 | 6% |
| Sweden | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 53% |
| Scientists | 8 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 466 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Brazil | 2 | <1% |
| Germany | 1 | <1% |
| Slovenia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| China | 1 | <1% |
| Unknown | 456 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 83 | 18% |
| Student > Ph. D. Student | 82 | 18% |
| Researcher | 74 | 16% |
| Student > Bachelor | 37 | 8% |
| Student > Doctoral Student | 24 | 5% |
| Other | 72 | 15% |
| Unknown | 94 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 72 | 15% |
| Chemistry | 56 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 44 | 9% |
| Agricultural and Biological Sciences | 38 | 8% |
| Biochemistry, Genetics and Molecular Biology | 38 | 8% |
| Other | 107 | 23% |
| Unknown | 111 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 02 October 2023.
All research outputs
#1,024,713
of 25,837,817 outputs
Outputs from Pharmaceutical Research
#19
of 3,025 outputs
Outputs of similar age
#18,689
of 347,547 outputs
Outputs of similar age from Pharmaceutical Research
#3
of 26 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,025 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 99% 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 347,547 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 94% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.