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A study of physician collaborations through social network and exponential random graph

Overview of attention for article published in BMC Health Services Research, June 2013
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
103 Mendeley
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Title
A study of physician collaborations through social network and exponential random graph
Published in
BMC Health Services Research, June 2013
DOI 10.1186/1472-6963-13-234
Pubmed ID
Authors

Shahadat Uddin, Liaquat Hossain, Jafar Hamra, Ashraful Alam

Abstract

Physician collaboration, which evolves among physicians during the course of providing healthcare services to hospitalised patients, has been seen crucial to effective patient outcomes in healthcare organisations and hospitals. This study aims to explore physician collaborations using measures of social network analysis (SNA) and exponential random graph (ERG) model.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Germany 1 <1%
Australia 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 98 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 18%
Researcher 15 15%
Student > Master 14 14%
Student > Doctoral Student 9 9%
Professor 7 7%
Other 19 18%
Unknown 20 19%
Readers by discipline Count As %
Social Sciences 14 14%
Nursing and Health Professions 12 12%
Medicine and Dentistry 12 12%
Business, Management and Accounting 8 8%
Computer Science 7 7%
Other 29 28%
Unknown 21 20%

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 22 August 2014.
All research outputs
#10,275,384
of 16,109,489 outputs
Outputs from BMC Health Services Research
#4,068
of 5,577 outputs
Outputs of similar age
#106,956
of 202,530 outputs
Outputs of similar age from BMC Health Services Research
#1
of 1 outputs
Altmetric has tracked 16,109,489 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,577 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 18th percentile – i.e., 18% 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 202,530 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them