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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platform
|
|---|---|
| Published in |
Journal of Big Data, February 2021
|
| DOI | 10.1186/s40537-021-00423-z |
| Pubmed ID | |
| Authors |
Flavio Villanustre, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw LexisNexis, Borko Furht, Taghi Khoshgoftaar |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 138 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 19 | 14% |
| Student > Master | 16 | 12% |
| Researcher | 10 | 7% |
| Student > Ph. D. Student | 10 | 7% |
| Student > Postgraduate | 8 | 6% |
| Other | 21 | 15% |
| Unknown | 54 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 13% |
| Medicine and Dentistry | 11 | 8% |
| Business, Management and Accounting | 9 | 7% |
| Nursing and Health Professions | 6 | 4% |
| Engineering | 5 | 4% |
| Other | 27 | 20% |
| Unknown | 62 | 45% |
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 22 January 2022.
All research outputs
#6,184,824
of 24,998,746 outputs
Outputs from Journal of Big Data
#106
of 376 outputs
Outputs of similar age
#156,146
of 562,937 outputs
Outputs of similar age from Journal of Big Data
#7
of 23 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 71% 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 562,937 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 23 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 73% of its contemporaries.