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A theoretical timeline for myocardial infarction: immunohistochemical evaluation and western blot quantification for Interleukin-15 and Monocyte chemotactic protein-1 as very early markers

Overview of attention for article published in Journal of Translational Medicine, July 2014
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Title
A theoretical timeline for myocardial infarction: immunohistochemical evaluation and western blot quantification for Interleukin-15 and Monocyte chemotactic protein-1 as very early markers
Published in
Journal of Translational Medicine, July 2014
DOI 10.1186/1479-5876-12-188
Pubmed ID
Authors

Emanuela Turillazzi, Marco Di Paolo, Margherita Neri, Irene Riezzo, Vittorio Fineschi

Abstract

Experimental and human studies have demonstrated that innate immune mechanisms and consequent inflammatory reaction play a critical role in cardiac response to ischemic injury. Thus, the detection of immuno-inflammatory and cellular phenomena accompanying cardiac alterations during the early inflammatory phase of myocardial infarction (MI) may be an excellent diagnostic tool. Current knowledge of the chronology of the responses of myocardial tissue following the occurrence of ischemic insult, as well as the existence of numerous studies aiming to identify reliable markers in dating MI, induced us to investigate the myocardial specimens of MI fatal cases in order to better define the age of MI.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Brazil 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Student > Bachelor 7 13%
Student > Postgraduate 6 11%
Student > Ph. D. Student 6 11%
Other 5 9%
Other 10 18%
Unknown 13 24%
Readers by discipline Count As %
Medicine and Dentistry 19 35%
Biochemistry, Genetics and Molecular Biology 6 11%
Pharmacology, Toxicology and Pharmaceutical Science 5 9%
Agricultural and Biological Sciences 5 9%
Chemical Engineering 1 2%
Other 4 7%
Unknown 15 27%
Attention Score in Context

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 10 August 2015.
All research outputs
#17,723,043
of 22,758,248 outputs
Outputs from Journal of Translational Medicine
#2,736
of 3,979 outputs
Outputs of similar age
#154,913
of 227,685 outputs
Outputs of similar age from Journal of Translational Medicine
#34
of 63 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,979 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 26th percentile – i.e., 26% 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 227,685 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.