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Mendeley readers
Attention Score in Context
Title |
Visualization analysis of author collaborations in schizophrenia research
|
---|---|
Published in |
BMC Psychiatry, February 2015
|
DOI | 10.1186/s12888-015-0407-z |
Pubmed ID | |
Authors |
Ying Wu, Zhiguang Duan |
Abstract |
Schizophrenia is a serious mental illness that levies a heavy medical toll and cost burden throughout the world. Scientific collaborations are necessary for progress in psychiatric research. However, there have been few publications on scientific collaborations in schizophrenia. The aim of this study was to investigate the extent of author collaborations in schizophrenia research. |
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 % |
---|---|---|
Canada | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
South Africa | 1 | 2% |
Unknown | 50 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 15% |
Student > Master | 7 | 13% |
Other | 7 | 13% |
Student > Ph. D. Student | 6 | 12% |
Student > Bachelor | 5 | 10% |
Other | 7 | 13% |
Unknown | 12 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 13% |
Computer Science | 5 | 10% |
Social Sciences | 5 | 10% |
Business, Management and Accounting | 4 | 8% |
Psychology | 4 | 8% |
Other | 11 | 21% |
Unknown | 16 | 31% |
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 12 July 2018.
All research outputs
#14,217,957
of 22,792,160 outputs
Outputs from BMC Psychiatry
#3,047
of 4,680 outputs
Outputs of similar age
#133,705
of 255,121 outputs
Outputs of similar age from BMC Psychiatry
#44
of 70 outputs
Altmetric has tracked 22,792,160 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 4,680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 32nd percentile – i.e., 32% 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 255,121 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.