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X Demographics
Mendeley readers
Attention Score in Context
Title |
A machine learning autism classification based on logistic regression analysis
|
---|---|
Published in |
Health Information Science and Systems, June 2019
|
DOI | 10.1007/s13755-019-0073-5 |
Pubmed ID | |
Authors |
Fadi Thabtah, Neda Abdelhamid, David Peebles |
X Demographics
The data shown below were collected from the profiles of 17 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 | 4 | 24% |
Belgium | 1 | 6% |
France | 1 | 6% |
United Kingdom | 1 | 6% |
Italy | 1 | 6% |
India | 1 | 6% |
Sri Lanka | 1 | 6% |
Nigeria | 1 | 6% |
Unknown | 6 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 82% |
Scientists | 3 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 154 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 17 | 11% |
Student > Bachelor | 15 | 10% |
Student > Ph. D. Student | 12 | 8% |
Researcher | 7 | 5% |
Student > Doctoral Student | 5 | 3% |
Other | 20 | 13% |
Unknown | 78 | 51% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 27 | 18% |
Engineering | 10 | 6% |
Psychology | 7 | 5% |
Medicine and Dentistry | 5 | 3% |
Business, Management and Accounting | 3 | 2% |
Other | 19 | 12% |
Unknown | 83 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 November 2019.
All research outputs
#4,445,001
of 24,998,746 outputs
Outputs from Health Information Science and Systems
#17
of 102 outputs
Outputs of similar age
#81,481
of 355,840 outputs
Outputs of similar age from Health Information Science and Systems
#1
of 1 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 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 102 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 82% 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 355,840 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 77% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them