| Title |
Multi-scale modeling of drug binding kinetics to predict drug efficacy
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, November 2019
|
| DOI | 10.1007/s00018-019-03376-y |
| Pubmed ID | |
| Authors |
Fabrizio Clarelli, Jingyi Liang, Antal Martinecz, Ines Heiland, Pia Abel zur Wiesch |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 100% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 13 | 23% |
| Student > Master | 9 | 16% |
| Researcher | 6 | 11% |
| Student > Bachelor | 5 | 9% |
| Other | 5 | 9% |
| Other | 4 | 7% |
| Unknown | 14 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 14% |
| Agricultural and Biological Sciences | 4 | 7% |
| Engineering | 4 | 7% |
| Chemistry | 4 | 7% |
| Other | 7 | 13% |
| Unknown | 20 | 36% |
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 04 February 2020.
All research outputs
#13,316,150
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#2,588
of 4,151 outputs
Outputs of similar age
#207,427
of 462,491 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#26
of 81 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 462,491 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 54% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.