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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SVM clustering
|
|---|---|
| Published in |
BMC Bioinformatics, November 2007
|
| DOI | 10.1186/1471-2105-8-s7-s18 |
| Pubmed ID | |
| Authors |
Stephen Winters-Hilt, Sam Merat |
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 States | 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 4 | 3% |
| Germany | 3 | 2% |
| United Kingdom | 3 | 2% |
| United States | 2 | 1% |
| Australia | 1 | <1% |
| Netherlands | 1 | <1% |
| Denmark | 1 | <1% |
| France | 1 | <1% |
| Unknown | 125 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 21% |
| Student > Master | 24 | 17% |
| Researcher | 22 | 16% |
| Student > Bachelor | 17 | 12% |
| Student > Doctoral Student | 7 | 5% |
| Other | 23 | 16% |
| Unknown | 18 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 50 | 35% |
| Engineering | 33 | 23% |
| Mathematics | 7 | 5% |
| Agricultural and Biological Sciences | 6 | 4% |
| Medicine and Dentistry | 6 | 4% |
| Other | 16 | 11% |
| Unknown | 23 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 24 May 2023.
All research outputs
#2,065,688
of 23,835,032 outputs
Outputs from BMC Bioinformatics
#504
of 7,452 outputs
Outputs of similar age
#4,632
of 78,264 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 48 outputs
Altmetric has tracked 23,835,032 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,452 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 93% 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 78,264 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 94% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.