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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TeraStitcher - A tool for fast automatic 3D-stitching of teravoxel-sized microscopy images
|
|---|---|
| Published in |
BMC Bioinformatics, November 2012
|
| DOI | 10.1186/1471-2105-13-316 |
| Pubmed ID | |
| Authors |
Alessandro Bria, Giulio Iannello |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Germany | 2 | 1% |
| Malaysia | 1 | <1% |
| Canada | 1 | <1% |
| United States | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 133 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 29% |
| Researcher | 40 | 28% |
| Student > Master | 11 | 8% |
| Student > Bachelor | 11 | 8% |
| Student > Doctoral Student | 7 | 5% |
| Other | 16 | 11% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 21% |
| Engineering | 23 | 16% |
| Neuroscience | 20 | 14% |
| Computer Science | 13 | 9% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Other | 27 | 19% |
| Unknown | 22 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 December 2023.
All research outputs
#7,538,708
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#2,681
of 7,763 outputs
Outputs of similar age
#72,686
of 289,725 outputs
Outputs of similar age from BMC Bioinformatics
#38
of 101 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 63% 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 289,725 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 73% of its contemporaries.
We're also able to compare this research output to 101 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 58% of its contemporaries.