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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Utilizing dynamic treatment information for MACE prediction of acute coronary syndrome
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2019
|
| DOI | 10.1186/s12911-018-0730-7 |
| Pubmed ID | |
| Authors |
Huilong Duan, Zhoujian Sun, Wei Dong, Zhengxing Huang |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 7 | 10% |
| Other | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 26 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 20% |
| Computer Science | 12 | 17% |
| Nursing and Health Professions | 4 | 6% |
| Mathematics | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 31 | 44% |
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 03 July 2020.
All research outputs
#18,732,892
of 23,220,133 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,595
of 2,019 outputs
Outputs of similar age
#325,806
of 438,832 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#37
of 51 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,019 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 438,832 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.