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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning for Deep Chemistry: Optimizing the Prediction of Chemical Patterns
|
|---|---|
| Published in |
Frontiers in Chemistry, November 2019
|
| DOI | 10.3389/fchem.2019.00809 |
| Pubmed ID | |
| Authors |
Tânia F. G. G. Cova, Alberto A. C. C. Pais |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 407 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 407 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 92 | 23% |
| Researcher | 56 | 14% |
| Student > Master | 53 | 13% |
| Student > Bachelor | 29 | 7% |
| Other | 14 | 3% |
| Other | 51 | 13% |
| Unknown | 112 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 142 | 35% |
| Chemical Engineering | 27 | 7% |
| Computer Science | 21 | 5% |
| Engineering | 20 | 5% |
| Biochemistry, Genetics and Molecular Biology | 13 | 3% |
| Other | 54 | 13% |
| Unknown | 130 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 February 2021.
All research outputs
#13,879,517
of 24,226,848 outputs
Outputs from Frontiers in Chemistry
#801
of 6,382 outputs
Outputs of similar age
#218,013
of 466,704 outputs
Outputs of similar age from Frontiers in Chemistry
#37
of 232 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,382 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 87% 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 466,704 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 232 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.