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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting cardiovascular health trajectories in time-series electronic health records with LSTM models
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2021
|
| DOI | 10.1186/s12911-020-01345-1 |
| Pubmed ID | |
| Authors |
Aixia Guo, Rahmatollah Beheshti, Yosef M. Khan, James R. Langabeer, Randi E. Foraker |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 2 | 40% |
| United Kingdom | 1 | 20% |
| Australia | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 14% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Researcher | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 27 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 10% |
| Nursing and Health Professions | 3 | 6% |
| Mathematics | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Business, Management and Accounting | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 29 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 24 August 2022.
All research outputs
#5,519,535
of 23,164,913 outputs
Outputs from BMC Medical Informatics and Decision Making
#458
of 2,016 outputs
Outputs of similar age
#132,729
of 502,322 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#13
of 63 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,016 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 77% 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 502,322 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 73% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.