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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BIOCAT: a pattern recognition platform for customizable biological image classification and annotation
|
|---|---|
| Published in |
BMC Bioinformatics, October 2013
|
| DOI | 10.1186/1471-2105-14-291 |
| Pubmed ID | |
| Authors |
Jie Zhou, Santosh Lamichhane, Gabriella Sterne, Bing Ye, Hanchuan Peng |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 2 | 40% |
| Brazil | 1 | 20% |
| India | 1 | 20% |
| Canada | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Netherlands | 1 | 1% |
| Italy | 1 | 1% |
| Cuba | 1 | 1% |
| Philippines | 1 | 1% |
| Unknown | 90 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 24% |
| Student > Ph. D. Student | 18 | 19% |
| Student > Bachelor | 9 | 9% |
| Professor > Associate Professor | 8 | 8% |
| Student > Master | 8 | 8% |
| Other | 16 | 17% |
| Unknown | 13 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 26% |
| Computer Science | 22 | 23% |
| Engineering | 12 | 13% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Neuroscience | 5 | 5% |
| Other | 7 | 7% |
| Unknown | 16 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 11 March 2016.
All research outputs
#3,038,890
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#1,034
of 7,400 outputs
Outputs of similar age
#28,192
of 209,255 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 99 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 85% 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 209,255 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 86% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.