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X Demographics
Mendeley readers
Attention Score in Context
Title |
Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, October 2023
|
DOI | 10.1186/s12911-023-02315-z |
Pubmed ID | |
Authors |
Srikanth Boligarla, Elda Kokoè Elolo Laison, Jiaxin Li, Raja Mahadevan, Austen Ng, Yangming Lin, Mamadou Yamar Thioub, Bruce Huang, Mohamed Hamza Ibrahim, Bouchra Nasri |
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 % |
---|---|---|
United States | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 1 | 20% |
Unknown | 4 | 80% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 1 | 20% |
Unknown | 4 | 80% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 05 December 2023.
All research outputs
#3,190,793
of 24,942,536 outputs
Outputs from BMC Medical Informatics and Decision Making
#236
of 2,118 outputs
Outputs of similar age
#46,636
of 332,355 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 37 outputs
Altmetric has tracked 24,942,536 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,118 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 88% 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 332,355 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 37 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 97% of its contemporaries.