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Mendeley readers
Attention Score in Context
| Title |
A specific immune transcriptomic profile discriminates chronic kidney disease patients in predialysis from hemodialyzed patients
|
|---|---|
| Published in |
BMC Medical Genomics, May 2013
|
| DOI | 10.1186/1755-8794-6-17 |
| Pubmed ID | |
| Authors |
Gianluigi Zaza, Simona Granata, Federica Rascio, Paola Pontrelli, Maria Pia Dell’Oglio, Sharon Natasha Cox, Giovanni Pertosa, Giuseppe Grandaliano, Antonio Lupo |
| Abstract |
Chronic kidney disease (CKD) patients present a complex interaction between the innate and adaptive immune systems, in which immune activation (hypercytokinemia and acute-phase response) and immune suppression (impairment of response to infections and poor development of adaptive immunity) coexist. In this setting, circulating uremic toxins and microinflammation play a critical role. This condition, already present in the last stages of renal damage, seems to be enhanced by the contact of blood with bioincompatible extracorporeal hemodialysis (HD) devices. However, although largely described, the cellular machinery associated to the CKD- and HD-related immune-dysfunction is still poorly defined. Understanding the mechanisms behind this important complication may generate a perspective for improving patients outcome. |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Student > Master | 6 | 17% |
| Student > Bachelor | 5 | 14% |
| Researcher | 4 | 11% |
| Professor > Associate Professor | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 33% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Agricultural and Biological Sciences | 4 | 11% |
| Nursing and Health Professions | 3 | 8% |
| Psychology | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 7 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 December 2013.
All research outputs
#20,213,623
of 22,736,112 outputs
Outputs from BMC Medical Genomics
#998
of 1,218 outputs
Outputs of similar age
#168,721
of 193,555 outputs
Outputs of similar age from BMC Medical Genomics
#14
of 16 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,218 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 193,555 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.