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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Novel Matrix Profile-Guided Attention LSTM Model for Forecasting COVID-19 Cases in USA
|
|---|---|
| Published in |
Frontiers in Public Health, October 2021
|
| DOI | 10.3389/fpubh.2021.741030 |
| Pubmed ID | |
| Authors |
Qian Liu, Daryl L. X. Fung, Leann Lac, Pingzhao Hu |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 14% |
| Unspecified | 4 | 11% |
| Student > Doctoral Student | 3 | 9% |
| Researcher | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 17 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 11% |
| Medicine and Dentistry | 4 | 11% |
| Computer Science | 4 | 11% |
| Nursing and Health Professions | 2 | 6% |
| Mathematics | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 18 | 51% |
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 06 February 2022.
All research outputs
#14,400,429
of 23,063,209 outputs
Outputs from Frontiers in Public Health
#3,673
of 10,346 outputs
Outputs of similar age
#212,682
of 432,257 outputs
Outputs of similar age from Frontiers in Public Health
#191
of 561 outputs
Altmetric has tracked 23,063,209 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 10,346 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has gotten more attention than average, scoring higher than 60% 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 432,257 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 561 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.