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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support system for early fetal echocardiography
|
|---|---|
| Published in |
BMC Pregnancy and Childbirth, January 2023
|
| DOI | 10.1186/s12884-022-05204-x |
| Pubmed ID | |
| Authors |
Anda Ungureanu, Andreea-Sorina Marcu, Ciprian Laurentiu Patru, Dan Ruican, Rodica Nagy, Ruxandra Stoean, Catalin Stoean, Dominic Gabriel Iliescu |
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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Student > Master | 2 | 6% |
| Librarian | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 21 | 64% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 12% |
| Computer Science | 3 | 9% |
| Engineering | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 22 | 67% |
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 20 January 2023.
All research outputs
#20,941,392
of 23,567,572 outputs
Outputs from BMC Pregnancy and Childbirth
#3,917
of 4,333 outputs
Outputs of similar age
#346,530
of 437,600 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#92
of 122 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,333 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 1st percentile – i.e., 1% 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 437,600 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.