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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases
|
|---|---|
| Published in |
Journal of Neurodevelopmental Disorders, May 2022
|
| DOI | 10.1186/s11689-022-09438-w |
| Pubmed ID | |
| Authors |
Chirag Gupta, Pramod Chandrashekar, Ting Jin, Chenfeng He, Saniya Khullar, Qiang Chang, Daifeng Wang |
X Demographics
The data shown below were collected from the profiles of 48 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 7 | 15% |
| United Kingdom | 5 | 10% |
| United States | 5 | 10% |
| Nigeria | 3 | 6% |
| Belgium | 3 | 6% |
| Germany | 2 | 4% |
| Kenya | 2 | 4% |
| Brazil | 2 | 4% |
| India | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 12 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 36 | 75% |
| Scientists | 9 | 19% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 10% |
| Student > Ph. D. Student | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 5 | 5% |
| Student > Postgraduate | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 59 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 11% |
| Computer Science | 8 | 8% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Nursing and Health Professions | 3 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Other | 13 | 13% |
| Unknown | 58 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 31 May 2022.
All research outputs
#1,465,173
of 25,576,801 outputs
Outputs from Journal of Neurodevelopmental Disorders
#46
of 513 outputs
Outputs of similar age
#34,298
of 447,034 outputs
Outputs of similar age from Journal of Neurodevelopmental Disorders
#6
of 16 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done particularly well, scoring higher than 91% 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 447,034 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 16 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 68% of its contemporaries.