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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimation of postpartum depression risk from electronic health records using machine learning
|
|---|---|
| Published in |
BMC Pregnancy and Childbirth, September 2021
|
| DOI | 10.1186/s12884-021-04087-8 |
| Pubmed ID | |
| Authors |
Guy Amit, Irena Girshovitz, Karni Marcus, Yiye Zhang, Jyotishman Pathak, Vered Bar, Pinchas Akiva |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Israel | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 8% |
| Student > Master | 7 | 8% |
| Researcher | 5 | 5% |
| Unspecified | 5 | 5% |
| Student > Doctoral Student | 4 | 4% |
| Other | 10 | 11% |
| Unknown | 54 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 9% |
| Medicine and Dentistry | 6 | 7% |
| Nursing and Health Professions | 5 | 5% |
| Unspecified | 5 | 5% |
| Psychology | 4 | 4% |
| Other | 6 | 7% |
| Unknown | 58 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 April 2024.
All research outputs
#3,248,949
of 25,654,806 outputs
Outputs from BMC Pregnancy and Childbirth
#883
of 4,838 outputs
Outputs of similar age
#70,838
of 437,279 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#16
of 118 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,838 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done well, scoring higher than 81% 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 437,279 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.