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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Individual differences and evidence-based psychopharmacology
|
|---|---|
| Published in |
BMC Medicine, September 2012
|
| DOI | 10.1186/1741-7015-10-110 |
| Pubmed ID | |
| Authors |
RH Belmaker, Yuly Bersudsky, Galila Agam |
| Abstract |
Individual differences in response to pharmacologic treatment limits the usefulness of mean data obtained from randomized controlled trials. These individual differences exist even in genetically uniform inbred mouse strains. While stratification can be of value in large studies, the individual patient history is the most effective currently available guide for personalized medicine in psychopharmacology. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 19% |
| Other | 3 | 14% |
| Student > Doctoral Student | 2 | 10% |
| Lecturer > Senior Lecturer | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Other | 4 | 19% |
| Unknown | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 5 | 24% |
| Medicine and Dentistry | 4 | 19% |
| Agricultural and Biological Sciences | 1 | 5% |
| Computer Science | 1 | 5% |
| Mathematics | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 5 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 29 September 2012.
All research outputs
#3,531,885
of 22,679,690 outputs
Outputs from BMC Medicine
#1,876
of 3,398 outputs
Outputs of similar age
#25,477
of 171,822 outputs
Outputs of similar age from BMC Medicine
#23
of 47 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,398 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one is in the 44th percentile – i.e., 44% 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 171,822 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 85% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.