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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of caesarean section prediction models: secondary analysis of a prospective cohort study in two sub-Saharan African countries
|
|---|---|
| Published in |
Reproductive Health, November 2019
|
| DOI | 10.1186/s12978-019-0832-4 |
| Pubmed ID | |
| Authors |
Hayala C. C. de Souza, Gleici S. C. Perdoná, Alessandra C. Marcolin, Lawal O. Oyeneyin, Olufemi T. Oladapo, Kidza Mugerwa, João Paulo Souza |
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 % |
|---|---|---|
| Congo, The Democratic Republic of the | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 15% |
| Student > Bachelor | 12 | 15% |
| Researcher | 9 | 11% |
| Student > Postgraduate | 5 | 6% |
| Student > Ph. D. Student | 5 | 6% |
| Other | 8 | 10% |
| Unknown | 28 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 28% |
| Nursing and Health Professions | 10 | 13% |
| Social Sciences | 4 | 5% |
| Computer Science | 4 | 5% |
| Engineering | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 29 | 37% |
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 17 November 2019.
All research outputs
#14,929,762
of 23,173,635 outputs
Outputs from Reproductive Health
#1,079
of 1,427 outputs
Outputs of similar age
#208,220
of 360,033 outputs
Outputs of similar age from Reproductive Health
#23
of 35 outputs
Altmetric has tracked 23,173,635 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,427 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 23rd percentile – i.e., 23% 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 360,033 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.