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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Effectiveness of predicting in-hospital mortality in critically ill children by assessing blood lactate levels at admission
|
|---|---|
| Published in |
BMC Pediatrics, March 2014
|
| DOI | 10.1186/1471-2431-14-83 |
| Pubmed ID | |
| Authors |
Zhenjiang Bai, Xueping Zhu, Mengxia Li, Jun Hua, Ying Li, Jian Pan, Jian Wang, Yanhong Li |
| Abstract |
Hyperlactatemia upon admission is a documented risk factor for mortality in critically ill adult patients. However, the predictive significance of a single lactate measurement at admission for mortality in the general population of critically ill children remains uncertain. This study evaluated the predictive value of blood lactate levels at admission and determined the cut-off values for predicting in-hospital mortality in the critically ill pediatric population. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 16 | 16% |
| Student > Master | 13 | 13% |
| Other | 9 | 9% |
| Researcher | 8 | 8% |
| Professor > Associate Professor | 8 | 8% |
| Other | 24 | 24% |
| Unknown | 24 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 62 | 61% |
| Nursing and Health Professions | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Business, Management and Accounting | 2 | 2% |
| Chemistry | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 25 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 07 October 2016.
All research outputs
#1,688,031
of 22,751,628 outputs
Outputs from BMC Pediatrics
#196
of 2,989 outputs
Outputs of similar age
#18,253
of 224,799 outputs
Outputs of similar age from BMC Pediatrics
#4
of 62 outputs
Altmetric has tracked 22,751,628 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 2,989 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 93% 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 224,799 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 62 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.