The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational Methods for the Pharmacogenetic Interpretation of Next Generation Sequencing Data
|
|---|---|
| Published in |
Frontiers in Pharmacology, December 2018
|
| DOI | 10.3389/fphar.2018.01437 |
| Pubmed ID | |
| Authors |
Yitian Zhou, Kohei Fujikura, Souren Mkrtchian, Volker M. Lauschke |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 14% |
| France | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 20% |
| Student > Ph. D. Student | 10 | 10% |
| Student > Bachelor | 10 | 10% |
| Student > Master | 9 | 9% |
| Professor | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 32 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 22% |
| Pharmacology, Toxicology and Pharmaceutical Science | 13 | 14% |
| Medicine and Dentistry | 10 | 10% |
| Agricultural and Biological Sciences | 8 | 8% |
| Computer Science | 2 | 2% |
| Other | 11 | 11% |
| Unknown | 31 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 08 January 2019.
All research outputs
#7,065,858
of 23,116,036 outputs
Outputs from Frontiers in Pharmacology
#2,982
of 16,474 outputs
Outputs of similar age
#144,314
of 437,206 outputs
Outputs of similar age from Frontiers in Pharmacology
#91
of 363 outputs
Altmetric has tracked 23,116,036 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 16,474 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 81% 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 437,206 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 66% of its contemporaries.
We're also able to compare this research output to 363 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 74% of its contemporaries.