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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning based efficient prediction of positive cases of waterborne diseases
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2023
|
| DOI | 10.1186/s12911-022-02092-1 |
| Pubmed ID | |
| Authors |
Mushtaq Hussain, Mehmet Akif Cifci, Tayyaba Sehar, Said Nabi, Omar Cheikhrouhou, Hasaan Maqsood, Muhammad Ibrahim, Fida Mohammad |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 13% |
| Unspecified | 4 | 9% |
| Lecturer | 3 | 7% |
| Student > Master | 3 | 7% |
| Student > Bachelor | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 27 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 13% |
| Unspecified | 4 | 9% |
| Environmental Science | 2 | 4% |
| Engineering | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 27 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 February 2023.
All research outputs
#19,921,793
of 25,353,525 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,613
of 2,139 outputs
Outputs of similar age
#328,678
of 471,775 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#32
of 46 outputs
Altmetric has tracked 25,353,525 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,139 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 21st percentile – i.e., 21% 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 471,775 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.