You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A systematic review of attention deficit hyperactivity disorder (ADHD) and mathematical ability: current findings and future implications
|
|---|---|
| Published in |
BMC Medicine, August 2015
|
| DOI | 10.1186/s12916-015-0414-4 |
| Pubmed ID | |
| Authors |
Maria Grazia Tosto, Sukhleen Kaur Momi, Philip Asherson, Karim Malki |
| Abstract |
Several recent behavioural and behavioural genetic studies have investigated the relationship between attention deficit hyperactivity disorder (ADHD) and mathematical ability. The aim of this systematic review was to provide an overview of these studies to date. An emphasis was placed on reviewing results that explored the association between mathematics and the two ADHD components of attention and hyperactivity-impulsivity separately. A systematic search of quantitative studies investigating the association between mathematics and ADHD was conducted across five databases (PsychINFO, Web of Science, PubMed, EMBASE, and Scopus). A total of 30 cross-sectional and four longitudinal studies were included in this review. Narrative synthesis of the results was provided using PRISMA guidelines. Taken together, the studies pointed at substantial evidence for a negative association between ADHD symptoms and mathematical ability. This association was particularly marked for the inattentive component of ADHD than for the hyperactive-impulsive component. Evidence from twin studies also showed a significant genetic correlation between mathematics and ADHD, which was greater for the inattentive component of ADHD compared to the hyperactive-impulsive component. The differential relationship of the hyperactivity-impulsivity and inattention domains with mathematics emphasises the heterogeneity within the disorder and suggests a partially different aetiology of the two ADHD domains. A better understanding of the aetiology of ADHD could help develop more efficient interventions aimed at the reduction of its symptoms. It could also offer an explanatory framework for shortcomings in achievement and inform the development of non-pharmacological intervention strategies. |
X Demographics
The data shown below were collected from the profiles of 16 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 Kingdom | 4 | 25% |
| Spain | 2 | 13% |
| Japan | 2 | 13% |
| Sweden | 1 | 6% |
| Belgium | 1 | 6% |
| France | 1 | 6% |
| Hong Kong | 1 | 6% |
| Unknown | 4 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Practitioners (doctors, other healthcare professionals) | 3 | 19% |
| Scientists | 3 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 173 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 24 | 14% |
| Student > Master | 22 | 13% |
| Student > Ph. D. Student | 17 | 10% |
| Student > Postgraduate | 12 | 7% |
| Researcher | 11 | 6% |
| Other | 37 | 21% |
| Unknown | 52 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 53 | 30% |
| Medicine and Dentistry | 22 | 13% |
| Neuroscience | 9 | 5% |
| Social Sciences | 7 | 4% |
| Agricultural and Biological Sciences | 4 | 2% |
| Other | 17 | 10% |
| Unknown | 63 | 36% |
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 21 April 2021.
All research outputs
#4,431,302
of 25,654,806 outputs
Outputs from BMC Medicine
#2,294
of 4,067 outputs
Outputs of similar age
#52,504
of 279,529 outputs
Outputs of similar age from BMC Medicine
#68
of 94 outputs
Altmetric has tracked 25,654,806 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 4,067 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.9. This one is in the 43rd percentile – i.e., 43% 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 279,529 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 80% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.