| Title |
Predicting one-year mortality of critically ill patients with early acute kidney injury: data from the prospective multicenter FINNAKI study
|
|---|---|
| Published in |
Critical Care, December 2015
|
| DOI | 10.1186/s13054-015-0848-2 |
| Pubmed ID | |
| Authors |
Meri Poukkanen, Suvi T Vaara, Matti Reinikainen, Tuomas Selander, Sara Nisula, Sari Karlsson, Ilkka Parviainen, Juha Koskenkari, Ville Pettilä |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Puerto Rico | 2 | 15% |
| Turkey | 1 | 8% |
| United Kingdom | 1 | 8% |
| South Africa | 1 | 8% |
| Spain | 1 | 8% |
| Mexico | 1 | 8% |
| Italy | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 46% |
| Practitioners (doctors, other healthcare professionals) | 6 | 46% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 47 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 16% |
| Researcher | 8 | 16% |
| Student > Master | 7 | 14% |
| Professor > Associate Professor | 4 | 8% |
| Student > Bachelor | 4 | 8% |
| Other | 11 | 22% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 59% |
| Nursing and Health Professions | 5 | 10% |
| Computer Science | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 10 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 12 April 2015.
All research outputs
#4,506,353
of 26,017,215 outputs
Outputs from Critical Care
#3,144
of 6,644 outputs
Outputs of similar age
#68,263
of 401,213 outputs
Outputs of similar age from Critical Care
#256
of 466 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,644 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has gotten more attention than average, scoring higher than 52% 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 401,213 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 83% of its contemporaries.
We're also able to compare this research output to 466 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.