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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of treatment response to antipsychotic drugs for precision medicine approach to schizophrenia: randomized trials and multiomics analysis
|
|---|---|
| Published in |
Military Medical Research, June 2023
|
| DOI | 10.1186/s40779-023-00459-7 |
| Pubmed ID | |
| Authors |
Liang-Kun Guo, Yi Su, Yu-Ya-Nan Zhang, Hao Yu, Zhe Lu, Wen-Qiang Li, Yong-Feng Yang, Xiao Xiao, Hao Yan, Tian-Lan Lu, Jun Li, Yun-Dan Liao, Zhe-Wei Kang, Li-Fang Wang, Yue Li, Ming Li, Bing Liu, Hai-Liang Huang, Lu-Xian Lv, Yin Yao, Yun-Long Tan, Gerome Breen, Ian Everall, Hong-Xing Wang, Zhuo Huang, Dai Zhang, Wei-Hua Yue |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 43% |
| United States | 2 | 29% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Scientists | 3 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 7% |
| Other | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Researcher | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 15 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 25% |
| Unspecified | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 15 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 16 April 2024.
All research outputs
#2,813,956
of 25,394,764 outputs
Outputs from Military Medical Research
#48
of 443 outputs
Outputs of similar age
#52,259
of 387,810 outputs
Outputs of similar age from Military Medical Research
#2
of 15 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 443 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done well, scoring higher than 89% 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 387,810 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 86% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.