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 new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features
|
|---|---|
| Published in |
BMC Bioinformatics, June 2019
|
| DOI | 10.1186/s12859-019-2771-z |
| Pubmed ID | |
| Authors |
Hui Huang, Xi’an Feng, Suying Zhou, Jionghui Jiang, Huiling Chen, Yuping Li, Chengye Li |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 14% |
| Researcher | 8 | 13% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 4 | 6% |
| Lecturer | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 22 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 28% |
| Engineering | 8 | 13% |
| Medicine and Dentistry | 5 | 8% |
| Mathematics | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 22 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 July 2019.
All research outputs
#19,015,492
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#6,459
of 7,400 outputs
Outputs of similar age
#265,467
of 354,760 outputs
Outputs of similar age from BMC Bioinformatics
#161
of 190 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 354,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.