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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using the LACE index to predict hospital readmissions in congestive heart failure patients
|
|---|---|
| Published in |
BMC Cardiovascular Disorders, August 2014
|
| DOI | 10.1186/1471-2261-14-97 |
| Pubmed ID | |
| Authors |
Hao Wang, Richard D Robinson, Carlos Johnson, Nestor R Zenarosa, Rani D Jayswal, Joshua Keithley, Kathleen A Delaney |
| Abstract |
The LACE index has been used to predict the risk of unplanned readmission within 30 days after hospital discharge in both medical and surgical patients. The aim of this study is to validate the accuracy of using the LACE index in CHF patients. |
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% |
| India | 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 1% |
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 136 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 13% |
| Student > Master | 17 | 12% |
| Student > Ph. D. Student | 14 | 10% |
| Student > Postgraduate | 14 | 10% |
| Student > Bachelor | 11 | 8% |
| Other | 41 | 29% |
| Unknown | 26 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 51 | 36% |
| Nursing and Health Professions | 18 | 13% |
| Computer Science | 9 | 6% |
| Social Sciences | 6 | 4% |
| Agricultural and Biological Sciences | 5 | 4% |
| Other | 18 | 13% |
| Unknown | 34 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 17 September 2020.
All research outputs
#1,786,637
of 22,759,618 outputs
Outputs from BMC Cardiovascular Disorders
#58
of 1,603 outputs
Outputs of similar age
#19,333
of 230,235 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#5
of 25 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,603 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 96% 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 230,235 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.