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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pathway Based Analysis of Mutation Data Is Efficient for Scoring Target Cancer Drugs
|
|---|---|
| Published in |
Frontiers in Pharmacology, January 2019
|
| DOI | 10.3389/fphar.2019.00001 |
| Pubmed ID | |
| Authors |
Marianna A. Zolotovskaia, Maxim I. Sorokin, Anna A. Emelianova, Nikolay M. Borisov, Denis V. Kuzmin, Pieter Borger, Andrew V. Garazha, Anton A. Buzdin |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 16% |
| Student > Ph. D. Student | 4 | 16% |
| Lecturer | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 8 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 20% |
| Agricultural and Biological Sciences | 3 | 12% |
| Medicine and Dentistry | 3 | 12% |
| Computer Science | 2 | 8% |
| Mathematics | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 9 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 May 2023.
All research outputs
#16,037,259
of 25,380,089 outputs
Outputs from Frontiers in Pharmacology
#5,777
of 19,670 outputs
Outputs of similar age
#252,575
of 450,608 outputs
Outputs of similar age from Frontiers in Pharmacology
#158
of 313 outputs
Altmetric has tracked 25,380,089 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,670 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 68% 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 450,608 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 313 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.