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Village doctor-assisted case management of rural patients with schizophrenia: protocol for a cluster randomized control trial

Overview of attention for article published in Implementation Science, January 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

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11 Dimensions

Readers on

mendeley
136 Mendeley

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Summary Twitter Dimensions citations
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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
24433461
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.

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Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 136 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 134 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 18%
Student > Master 23 17%
Student > Doctoral Student 16 12%
Student > Bachelor 10 7%
Student > Postgraduate 10 7%
Other 25 18%
Unknown 27 20%
Readers by discipline Count As %
Medicine and Dentistry 36 26%
Psychology 19 14%
Nursing and Health Professions 15 11%
Economics, Econometrics and Finance 6 4%
Social Sciences 5 4%
Other 20 15%
Unknown 35 26%

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
#13,344,365
of 21,358,901 outputs
Outputs from Implementation Science
#1,463
of 1,683 outputs
Outputs of similar age
#157,288
of 285,910 outputs
Outputs of similar age from Implementation Science
#9
of 9 outputs
Altmetric has tracked 21,358,901 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 1,683 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 285,910 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.

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