You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
“Getting Everyone on the Same Page”: Interprofessional Team Training to Develop Shared Mental Models on Interprofessional Rounds
|
---|---|
Published in |
Journal of General Internal Medicine, September 2019
|
DOI | 10.1007/s11606-019-05320-z |
Pubmed ID | |
Authors |
Sok Ying Liaw, Ling Ting Wu, Lai Fun Wong, Shawn Leng Hsien Soh, Yeow Leng Chow, Charlotte Ringsted, Tang Ching Lau, Wee Shiong Lim |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Singapore | 1 | 25% |
Mexico | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 128 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 15 | 12% |
Student > Master | 13 | 10% |
Professor > Associate Professor | 6 | 5% |
Lecturer > Senior Lecturer | 5 | 4% |
Lecturer | 5 | 4% |
Other | 23 | 18% |
Unknown | 61 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 19 | 15% |
Medicine and Dentistry | 19 | 15% |
Business, Management and Accounting | 8 | 6% |
Social Sciences | 6 | 5% |
Economics, Econometrics and Finance | 2 | 2% |
Other | 9 | 7% |
Unknown | 65 | 51% |
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 11 May 2020.
All research outputs
#14,759,948
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#5,426
of 7,806 outputs
Outputs of similar age
#184,691
of 343,517 outputs
Outputs of similar age from Journal of General Internal Medicine
#137
of 195 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 28th percentile – i.e., 28% 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 343,517 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 195 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.