| Title |
Machine-learning based identification of undiagnosed dementia in primary care: a feasibility study
|
|---|---|
| Published in |
BJGP Open, June 2018
|
| DOI | 10.3399/bjgpopen18x101589 |
| Pubmed ID | |
| Authors |
Emmanuel A Jammeh, B Carroll Camille, W Pearson Stephen, Javier Escudero, Athanasios Anastasiou, Peng Zhao, Todd Chenore, John Zajicek, Emmanuel Ifeachor |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 8 | 36% |
| United States | 5 | 23% |
| Canada | 1 | 5% |
| Namibia | 1 | 5% |
| Spain | 1 | 5% |
| Unknown | 6 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 64% |
| Scientists | 5 | 23% |
| Practitioners (doctors, other healthcare professionals) | 3 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 19% |
| Researcher | 13 | 17% |
| Student > Master | 9 | 12% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 22 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 18% |
| Computer Science | 12 | 15% |
| Psychology | 6 | 8% |
| Engineering | 3 | 4% |
| Nursing and Health Professions | 2 | 3% |
| Other | 12 | 15% |
| Unknown | 29 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 81. 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 15 February 2019.
All research outputs
#507,390
of 24,775,802 outputs
Outputs from BJGP Open
#19
of 599 outputs
Outputs of similar age
#11,440
of 334,125 outputs
Outputs of similar age from BJGP Open
#2
of 15 outputs
Altmetric has tracked 24,775,802 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has done particularly well, scoring higher than 96% 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 334,125 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.