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X Demographics
Mendeley readers
Attention Score in Context
Title |
Changes in renal medulla gene expression in a pre-clinical model of post cardiopulmonary bypass acute kidney injury
|
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Published in |
BMC Genomics, October 2014
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DOI | 10.1186/1471-2164-15-916 |
Pubmed ID | |
Authors |
Mohamed T Ghorbel, Nishith N Patel, Maimuna Sheikh, Gianni D Angelini, Massimo Caputo, Gavin J Murphy |
Abstract |
Acute kidney injury (AKI) is a common and serious complication of cardiac surgery using cardiopulmonary bypass (CPB). The pathogenesis is poorly understood and the study of AKI in rodent models has not led to improvements in clinical outcomes. We sought to determine the changes in renal medullary gene expression in a novel and clinically relevant porcine model of CPB-induced AKI. |
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 | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 5% |
Unknown | 19 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 25% |
Student > Bachelor | 4 | 20% |
Professor > Associate Professor | 2 | 10% |
Student > Master | 2 | 10% |
Student > Ph. D. Student | 2 | 10% |
Other | 3 | 15% |
Unknown | 2 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 60% |
Biochemistry, Genetics and Molecular Biology | 2 | 10% |
Unspecified | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Nursing and Health Professions | 1 | 5% |
Other | 0 | 0% |
Unknown | 3 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 December 2014.
All research outputs
#16,047,334
of 25,374,647 outputs
Outputs from BMC Genomics
#6,103
of 11,244 outputs
Outputs of similar age
#147,288
of 273,070 outputs
Outputs of similar age from BMC Genomics
#149
of 300 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 273,070 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 300 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.