| Title |
Synergy in fertility forecasting: improving forecast accuracy through model averaging
|
|---|---|
| Published in |
Genus, September 2020
|
| DOI | 10.1186/s41118-020-00099-y |
| Authors |
Han Lin Shang, Heather Booth |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Lecturer | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Professor | 1 | 14% |
| Student > Ph. D. Student | 1 | 14% |
| Other | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Mathematics | 1 | 14% |
| Business, Management and Accounting | 1 | 14% |
| Economics, Econometrics and Finance | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Other | 1 | 14% |
| Unknown | 1 | 14% |
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 28 September 2021.
All research outputs
#15,529,011
of 25,387,668 outputs
Outputs from Genus
#140
of 176 outputs
Outputs of similar age
#230,123
of 426,044 outputs
Outputs of similar age from Genus
#11
of 11 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
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 is in the 19th percentile – i.e., 19% 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 426,044 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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.