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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Analysis of τRAMD Trajectories to Decipher Molecular Determinants of Drug-Target Residence Times
|
|---|---|
| Published in |
Frontiers in Molecular Biosciences, May 2019
|
| DOI | 10.3389/fmolb.2019.00036 |
| Pubmed ID | |
| Authors |
Daria B. Kokh, Tom Kaufmann, Bastian Kister, Rebecca C. Wade |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 19% |
| Student > Ph. D. Student | 11 | 16% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Other | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 20 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 16% |
| Chemistry | 10 | 15% |
| Agricultural and Biological Sciences | 5 | 7% |
| Engineering | 4 | 6% |
| Computer Science | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 23 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 15 March 2021.
All research outputs
#3,248,043
of 24,953,268 outputs
Outputs from Frontiers in Molecular Biosciences
#250
of 4,559 outputs
Outputs of similar age
#65,096
of 356,151 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#2
of 30 outputs
Altmetric has tracked 24,953,268 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,559 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% 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 356,151 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 81% of its contemporaries.
We're also able to compare this research output to 30 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 96% of its contemporaries.