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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of central venous catheter-associated deep venous thrombosis in pediatric critical care settings
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2021
|
| DOI | 10.1186/s12911-021-01700-w |
| Pubmed ID | |
| Authors |
Haomin Li, Yang Lu, Xian Zeng, Cangcang Fu, Huilong Duan, Qiang Shu, Jihua Zhu |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | 17% |
| Austria | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Science communicators (journalists, bloggers, editors) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Student > Doctoral Student | 3 | 9% |
| Lecturer | 2 | 6% |
| Other | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 16 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 20% |
| Engineering | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Computer Science | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 19 | 54% |
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 16 June 2022.
All research outputs
#14,190,198
of 23,876,851 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,017
of 2,049 outputs
Outputs of similar age
#222,869
of 506,046 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 61 outputs
Altmetric has tracked 23,876,851 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,049 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 47th percentile – i.e., 47% 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 506,046 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 61 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 73% of its contemporaries.