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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CP-CHARM: segmentation-free image classification made accessible
|
|---|---|
| Published in |
BMC Bioinformatics, January 2016
|
| DOI | 10.1186/s12859-016-0895-y |
| Pubmed ID | |
| Authors |
Virginie Uhlmann, Shantanu Singh, Anne E. Carpenter |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Unknown | 93 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 32% |
| Student > Ph. D. Student | 17 | 18% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 10 | 11% |
| Professor > Associate Professor | 4 | 4% |
| Other | 14 | 15% |
| Unknown | 9 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 26% |
| Computer Science | 16 | 17% |
| Engineering | 15 | 16% |
| Biochemistry, Genetics and Molecular Biology | 13 | 14% |
| Medicine and Dentistry | 4 | 4% |
| Other | 10 | 11% |
| Unknown | 12 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 06 April 2024.
All research outputs
#2,599,941
of 25,654,806 outputs
Outputs from BMC Bioinformatics
#664
of 7,735 outputs
Outputs of similar age
#43,568
of 407,345 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 134 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 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,735 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 91% 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 407,345 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 89% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.