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 |
Pattern Recognition Software and Techniques for Biological Image Analysis
|
|---|---|
| Published in |
PLoS Computational Biology, November 2010
|
| DOI | 10.1371/journal.pcbi.1000974 |
| Pubmed ID | |
| Authors |
Lior Shamir, John D. Delaney, Nikita Orlov, D. Mark Eckley, Ilya G. Goldberg |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 532 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 2% |
| Germany | 9 | 2% |
| France | 6 | 1% |
| Canada | 5 | <1% |
| Brazil | 3 | <1% |
| China | 3 | <1% |
| Belgium | 3 | <1% |
| United Kingdom | 3 | <1% |
| Spain | 2 | <1% |
| Other | 17 | 3% |
| Unknown | 469 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 129 | 24% |
| Researcher | 113 | 21% |
| Student > Master | 70 | 13% |
| Student > Bachelor | 45 | 8% |
| Professor > Associate Professor | 26 | 5% |
| Other | 97 | 18% |
| Unknown | 52 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 183 | 34% |
| Computer Science | 96 | 18% |
| Engineering | 55 | 10% |
| Biochemistry, Genetics and Molecular Biology | 33 | 6% |
| Physics and Astronomy | 18 | 3% |
| Other | 89 | 17% |
| Unknown | 58 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 October 2013.
All research outputs
#3,683,239
of 25,800,372 outputs
Outputs from PLoS Computational Biology
#3,157
of 9,042 outputs
Outputs of similar age
#21,288
of 190,802 outputs
Outputs of similar age from PLoS Computational Biology
#8
of 54 outputs
Altmetric has tracked 25,800,372 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,042 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 65% 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 190,802 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 88% of its contemporaries.
We're also able to compare this research output to 54 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.