| Title |
Inability of Providers to Predict Unplanned Readmissions
|
|---|---|
| Published in |
Journal of General Internal Medicine, March 2011
|
| DOI | 10.1007/s11606-011-1663-3 |
| Pubmed ID | |
| Authors |
Nazima Allaudeen, Jeffrey L. Schnipper, E. John Orav, Robert M. Wachter, Arpana R. Vidyarthi |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 4% |
| United Kingdom | 2 | 1% |
| Spain | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 148 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 19% |
| Researcher | 29 | 18% |
| Student > Master | 23 | 14% |
| Student > Doctoral Student | 15 | 9% |
| Other | 14 | 9% |
| Other | 26 | 16% |
| Unknown | 22 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 66 | 42% |
| Computer Science | 12 | 8% |
| Nursing and Health Professions | 11 | 7% |
| Social Sciences | 9 | 6% |
| Business, Management and Accounting | 6 | 4% |
| Other | 25 | 16% |
| Unknown | 30 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 November 2015.
All research outputs
#7,179,766
of 24,917,903 outputs
Outputs from Journal of General Internal Medicine
#3,916
of 8,056 outputs
Outputs of similar age
#36,484
of 113,154 outputs
Outputs of similar age from Journal of General Internal Medicine
#24
of 45 outputs
Altmetric has tracked 24,917,903 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 113,154 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.