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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Village doctor-assisted case management of rural patients with schizophrenia: protocol for a cluster randomized control trial
|
|---|---|
| Published in |
Implementation Science, January 2014
|
| DOI | 10.1186/1748-5908-9-13 |
| Pubmed ID | |
| Authors |
Wenjie Gong, Dong Xu, Liang Zhou, Henry Shelton Brown III, Kirk L Smith, Shuiyuan Xiao |
| Abstract |
Strict compliance with prescribed medication is the key to reducing relapses in schizophrenia. As villagers in China lack regular access to psychiatrists to supervise compliance, we propose to train village 'doctors' (i.e., villagers with basic medical training and currently operating in villages across China delivering basic clinical and preventive care) to manage rural patients with schizophrenia with respect to compliance and monitoring symptoms. We hypothesize that with the necessary training and proper oversight, village doctors can significantly improve drug compliance of villagers with schizophrenia. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 157 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 16% |
| Student > Master | 23 | 14% |
| Student > Doctoral Student | 15 | 9% |
| Student > Ph. D. Student | 14 | 9% |
| Student > Postgraduate | 11 | 7% |
| Other | 28 | 18% |
| Unknown | 43 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 23% |
| Psychology | 19 | 12% |
| Nursing and Health Professions | 18 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
| Economics, Econometrics and Finance | 6 | 4% |
| Other | 22 | 14% |
| Unknown | 51 | 32% |
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 22 January 2014.
All research outputs
#14,187,012
of 22,739,983 outputs
Outputs from Implementation Science
#1,486
of 1,721 outputs
Outputs of similar age
#171,552
of 304,414 outputs
Outputs of similar age from Implementation Science
#30
of 34 outputs
Altmetric has tracked 22,739,983 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 1,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 11th percentile – i.e., 11% 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 304,414 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 34 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.