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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pending Studies at Hospital Discharge: A Pre-post Analysis of an Electronic Medical Record Tool to Improve Communication at Hospital Discharge
|
|---|---|
| Published in |
Journal of General Internal Medicine, November 2014
|
| DOI | 10.1007/s11606-014-3064-x |
| Pubmed ID | |
| Authors |
Molly A. Kantor, Kambria H. Evans, Lisa Shieh |
| Abstract |
Achieving safe transitions of care at hospital discharge requires accurate and timely communication. Both the presence of and follow-up plan for diagnostic studies that are pending at hospital discharge are expected to be accurately conveyed during these transitions, but this remains a challenge. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 25% |
| Ireland | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| United Kingdom | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 55 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 18% |
| Student > Master | 10 | 17% |
| Other | 5 | 8% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Postgraduate | 3 | 5% |
| Other | 12 | 20% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 32% |
| Social Sciences | 8 | 13% |
| Nursing and Health Professions | 5 | 8% |
| Computer Science | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 17 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 08 January 2015.
All research outputs
#6,360,845
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#3,557
of 7,806 outputs
Outputs of similar age
#84,608
of 368,589 outputs
Outputs of similar age from Journal of General Internal Medicine
#46
of 113 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
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 has gotten more attention than average, scoring higher than 54% 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 368,589 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.