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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 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 | 105 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 18% |
| Researcher | 15 | 14% |
| Student > Master | 15 | 14% |
| Student > Doctoral Student | 11 | 10% |
| Professor | 7 | 6% |
| Other | 22 | 20% |
| Unknown | 20 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 15 | 14% |
| Medicine and Dentistry | 13 | 12% |
| Nursing and Health Professions | 12 | 11% |
| Business, Management and Accounting | 9 | 8% |
| Computer Science | 7 | 6% |
| Other | 33 | 30% |
| Unknown | 21 | 19% |
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
#15,303,896
of 22,760,687 outputs
Outputs from BMC Health Services Research
#5,547
of 7,618 outputs
Outputs of similar age
#121,544
of 196,437 outputs
Outputs of similar age from BMC Health Services Research
#84
of 115 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,618 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 17th percentile – i.e., 17% 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 196,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.