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Sexual dysfunction in Chinese rural patients with schizophrenia

Overview of attention for article published in BMC Psychiatry, July 2019
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Mentioned by

facebook
1 Facebook page

Citations

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15 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Sexual dysfunction in Chinese rural patients with schizophrenia
Published in
BMC Psychiatry, July 2019
DOI 10.1186/s12888-019-2205-5
Pubmed ID
Authors

Ying-Hua Huang, Cai-Lan Hou, C. H. Ng, Xie Chen, Qian-Wen Wang, Zhuo-Hui Huang, Fu-Jun Jia

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Student > Master 5 12%
Student > Doctoral Student 4 9%
Student > Ph. D. Student 4 9%
Student > Bachelor 3 7%
Other 6 14%
Unknown 13 30%
Readers by discipline Count As %
Medicine and Dentistry 12 28%
Psychology 7 16%
Social Sciences 4 9%
Nursing and Health Professions 3 7%
Economics, Econometrics and Finance 2 5%
Other 1 2%
Unknown 14 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 July 2019.
All research outputs
#20,575,461
of 23,152,542 outputs
Outputs from BMC Psychiatry
#4,299
of 4,780 outputs
Outputs of similar age
#294,780
of 346,549 outputs
Outputs of similar age from BMC Psychiatry
#81
of 96 outputs
Altmetric has tracked 23,152,542 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one is in the 1st percentile – i.e., 1% 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 346,549 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.