| Title |
Completeness of birth registration in Brazil: an overview of methods and data sources
|
|---|---|
| Published in |
Genus, August 2018
|
| DOI | 10.1186/s41118-018-0035-9 |
| Pubmed ID | |
| Authors |
Everton E. C. Lima, Bernardo Lanza Queiroz, Krystof Zeman |
| Abstract |
We provide an analysis of the main sources of data used to estimate fertility schedules in developing countries, giving special attention to Brazil. In addition to the brief history of various data sources, we present several indirect demographic methods, commonly used to estimate fertility and assess the quality of data. From the methods used, the Synthetic Relational Gompertz model gives the most robust estimates of fertility, independent of the data source considered. We conclude that different demographic data sources and methods generate differing estimates of fertility and that the country should invest in quality of birth statistics. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 17% |
| Austria | 1 | 8% |
| United States | 1 | 8% |
| Mexico | 1 | 8% |
| Spain | 1 | 8% |
| Colombia | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 5 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 24% |
| Student > Bachelor | 4 | 16% |
| Researcher | 3 | 12% |
| Student > Master | 3 | 12% |
| Other | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 32% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 11 August 2018.
All research outputs
#5,251,603
of 25,416,581 outputs
Outputs from Genus
#78
of 176 outputs
Outputs of similar age
#92,833
of 341,451 outputs
Outputs of similar age from Genus
#2
of 4 outputs
Altmetric has tracked 25,416,581 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has gotten more attention than average, scoring higher than 56% 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 341,451 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 72% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.