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 network clustering based feature selection strategy for classifying autism spectrum disorder
|
|---|---|
| Published in |
BMC Medical Genomics, December 2019
|
| DOI | 10.1186/s12920-019-0598-0 |
| Pubmed ID | |
| Authors |
Lingkai Tang, Sakib Mostafa, Bo Liao, Fang-Xiang Wu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 25% |
| Student > Master | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Other | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 17% |
| Social Sciences | 3 | 13% |
| Neuroscience | 3 | 13% |
| Psychology | 2 | 8% |
| Nursing and Health Professions | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 July 2020.
All research outputs
#12,950,640
of 23,184,056 outputs
Outputs from BMC Medical Genomics
#433
of 1,243 outputs
Outputs of similar age
#201,883
of 457,051 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 40 outputs
Altmetric has tracked 23,184,056 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,243 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 63% 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 457,051 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.