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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Apoptosis in ischemic heart disease
|
|---|---|
| Published in |
Journal of Translational Medicine, May 2017
|
| DOI | 10.1186/s12967-017-1191-y |
| Pubmed ID | |
| Authors |
Elena Teringova, Petr Tousek |
| Abstract |
Apoptosis plays an important role in the myocardial loss after acute myocardial infarction and participates in the process of subsequent left ventricular remodeling and development of symptomatic heart failure. Finding a sensitive apoptotic marker that would help in prognostic stratification of patients after acute myocardial infarction and offer new therapeutic strategies is thus of a great importance. Several studies suggest that tumor necrosis factor-related apoptosis inducing ligand (TRAIL) represents a very promising marker of prognosis in patients with acute myocardial infarction. This review article provides an overview of current knowledge on the role of apoptosis in ischemic heart disease and highlights potentially beneficial apoptotic markers in clinical practice. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 152 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 18% |
| Student > Bachelor | 25 | 16% |
| Student > Ph. D. Student | 20 | 13% |
| Student > Postgraduate | 9 | 6% |
| Researcher | 8 | 5% |
| Other | 20 | 13% |
| Unknown | 42 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 39 | 26% |
| Medicine and Dentistry | 34 | 22% |
| Agricultural and Biological Sciences | 9 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 5% |
| Computer Science | 2 | 1% |
| Other | 14 | 9% |
| Unknown | 47 | 31% |
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 02 May 2017.
All research outputs
#15,457,417
of 22,968,808 outputs
Outputs from Journal of Translational Medicine
#2,251
of 4,013 outputs
Outputs of similar age
#194,771
of 310,759 outputs
Outputs of similar age from Journal of Translational Medicine
#46
of 75 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,013 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 31st percentile – i.e., 31% 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 310,759 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 75 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.