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Mendeley readers
Attention Score in Context
| Title |
CellSegm - a MATLAB toolbox for high-throughput 3D cell segmentation
|
|---|---|
| Published in |
Source Code for Biology and Medicine, August 2013
|
| DOI | 10.1186/1751-0473-8-16 |
| Pubmed ID | |
| Authors |
Erlend Hodneland, Tanja Kögel, Dominik Michael Frei, Hans-Hermann Gerdes, Arvid Lundervold |
Mendeley readers
The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| France | 3 | 1% |
| United Kingdom | 3 | 1% |
| Germany | 1 | <1% |
| Norway | 1 | <1% |
| Turkey | 1 | <1% |
| Finland | 1 | <1% |
| Sweden | 1 | <1% |
| Kazakhstan | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 247 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 83 | 31% |
| Researcher | 60 | 22% |
| Student > Master | 32 | 12% |
| Student > Bachelor | 22 | 8% |
| Student > Doctoral Student | 17 | 6% |
| Other | 30 | 11% |
| Unknown | 23 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 64 | 24% |
| Agricultural and Biological Sciences | 44 | 16% |
| Biochemistry, Genetics and Molecular Biology | 35 | 13% |
| Physics and Astronomy | 28 | 10% |
| Computer Science | 25 | 9% |
| Other | 38 | 14% |
| Unknown | 33 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 23 February 2017.
All research outputs
#5,910,994
of 22,901,818 outputs
Outputs from Source Code for Biology and Medicine
#35
of 127 outputs
Outputs of similar age
#49,481
of 197,614 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 3 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 72% 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 197,614 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 74% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them