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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Monocyte/lymphocyte ratio predicts the severity of coronary artery disease: a syntax score assessment
|
|---|---|
| Published in |
BMC Cardiovascular Disorders, March 2017
|
| DOI | 10.1186/s12872-017-0507-4 |
| Pubmed ID | |
| Authors |
Hanhua Ji, Yang Li, Zeyuan Fan, Bo Zuo, Xinwen Jian, Li Li, Tao Liu |
| Abstract |
We aimed to explore whether monocyte to lymphocyte ratio (MLR) provides predictive value of the lesion severity in patients with coronary artery disease (CAD). Five hundred forty-three patients undergoing coronary angiography were analyzed in this retrospective study. Patients with coronary stenosis were divided into three groups on the basis of Syntax score. The control group consisted of patients with normal coronary arteries. MLR was calculated by dividing monocytes count by lymphocytes count obtained from routine blood examination. Multivariate logistic analysis was used to assess risk factors of CAD. Ordinal logistic regression analysis was used to assess the relationship between MLR and the lesion severity of coronary arteries. MLR was found to be an independent risk factor of the presence of CAD (OR: 3.94, 95% CI: 1.20-12.95) and a predictor of the lesion severity (OR: 2.05, 95% CI: 1.15-3.66). Besides, MLR was positively correlated with Syntax score(r = 0.437, p < 0.001). In the receiver-operating characteristic (ROC) curve analysis, MLR, with an optimal cut-off value of 0.25, predicted the severe coronary lesion with a sensitivity of 60.26% and specificity of 78.49%. MLR was an independent risk factor of the presence of CAD, and a predictor of the lesion severity. Compared to neutrophil to lymphocyte ratio (NLR), MLR has better performance to reflect the severity of coronary lesion. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kenya | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 13 | 13% |
| Student > Master | 11 | 11% |
| Student > Bachelor | 11 | 11% |
| Researcher | 9 | 9% |
| Lecturer | 5 | 5% |
| Other | 14 | 14% |
| Unknown | 40 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 34% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Nursing and Health Professions | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 47 | 46% |
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 09 April 2017.
All research outputs
#14,638,545
of 23,881,329 outputs
Outputs from BMC Cardiovascular Disorders
#679
of 1,726 outputs
Outputs of similar age
#170,559
of 311,374 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#13
of 31 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,726 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 59% 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 311,374 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 31 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.