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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Polymorphisms of Drug-Metabolizing Enzymes and Transporters Contribute to the Individual Variations of Erlotinib Steady State Trough Concentration, Treatment Outcomes, and Adverse Reactions in Epidermal Growth Factor Receptor–Mutated Non-Small Cell Lung Cancer Patients
|
|---|---|
| Published in |
Frontiers in Pharmacology, May 2020
|
| DOI | 10.3389/fphar.2020.00664 |
| Pubmed ID | |
| Authors |
Dehua Liao, Zhigang Liu, Yongchang Zhang, Ni Liu, Dunwu Yao, Lizhi Cao, Yun Chen, Yilan Fu, Nong Yang, Daxiong Xiang |
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 % |
|---|---|---|
| Switzerland | 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 22% |
| Student > Bachelor | 2 | 11% |
| Lecturer | 1 | 6% |
| Unspecified | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 8 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 17% |
| Medicine and Dentistry | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Unspecified | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 8 | 44% |
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 14 June 2020.
All research outputs
#14,949,489
of 23,207,489 outputs
Outputs from Frontiers in Pharmacology
#5,297
of 16,618 outputs
Outputs of similar age
#224,013
of 382,957 outputs
Outputs of similar age from Frontiers in Pharmacology
#194
of 486 outputs
Altmetric has tracked 23,207,489 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,618 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 gotten more attention than average, scoring higher than 67% 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 382,957 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 486 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 59% of its contemporaries.