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.
Mendeley readers
Attention Score in Context
| Title |
Fast automated cell phenotype image classification
|
|---|---|
| Published in |
BMC Bioinformatics, March 2007
|
| DOI | 10.1186/1471-2105-8-110 |
| Pubmed ID | |
| Authors |
Nicholas A Hamilton, Radosav S Pantelic, Kelly Hanson, Rohan D Teasdale |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Netherlands | 2 | 2% |
| Colombia | 1 | <1% |
| Switzerland | 1 | <1% |
| Finland | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 115 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 27% |
| Researcher | 25 | 20% |
| Student > Master | 20 | 16% |
| Student > Bachelor | 8 | 6% |
| Professor > Associate Professor | 6 | 5% |
| Other | 19 | 15% |
| Unknown | 15 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 28% |
| Computer Science | 31 | 24% |
| Engineering | 16 | 13% |
| Biochemistry, Genetics and Molecular Biology | 8 | 6% |
| Mathematics | 5 | 4% |
| Other | 12 | 9% |
| Unknown | 20 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 30 August 2022.
All research outputs
#4,803,389
of 23,202,641 outputs
Outputs from BMC Bioinformatics
#1,832
of 7,354 outputs
Outputs of similar age
#14,745
of 77,376 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 36 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,354 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 gotten more attention than average, scoring higher than 73% 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 77,376 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 71% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.