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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2022
|
| DOI | 10.1186/s12911-022-02082-3 |
| Pubmed ID | |
| Authors |
Elisson da Silva Rocha, Flavio Leandro de Morais Melo, Maria Eduarda Ferro de Mello, Barbara Figueiroa, Vanderson Sampaio, Patricia Takako Endo |
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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 12% |
| Unspecified | 4 | 9% |
| Student > Doctoral Student | 4 | 9% |
| Student > Postgraduate | 2 | 5% |
| Other | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 19 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 19% |
| Nursing and Health Professions | 5 | 12% |
| Computer Science | 4 | 9% |
| Unspecified | 3 | 7% |
| Arts and Humanities | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 18 | 42% |
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 25 December 2022.
All research outputs
#22,253,032
of 24,833,726 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,909
of 2,116 outputs
Outputs of similar age
#396,292
of 469,929 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#35
of 47 outputs
Altmetric has tracked 24,833,726 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 2,116 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 469,929 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 47 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.