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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A workflow for the automatic segmentation of organelles in electron microscopy image stacks
|
|---|---|
| Published in |
Frontiers in Neuroanatomy, November 2014
|
| DOI | 10.3389/fnana.2014.00126 |
| Pubmed ID | |
| Authors |
Alex J. Perez, Mojtaba Seyedhosseini, Thomas J. Deerinck, Eric A. Bushong, Satchidananda Panda, Tolga Tasdizen, Mark H. Ellisman |
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 % |
|---|---|---|
| Germany | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| United Kingdom | 1 | <1% |
| Germany | 1 | <1% |
| Slovenia | 1 | <1% |
| Unknown | 100 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 25% |
| Student > Ph. D. Student | 18 | 17% |
| Student > Master | 12 | 11% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 7 | 7% |
| Other | 17 | 16% |
| Unknown | 16 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 22% |
| Computer Science | 12 | 11% |
| Medicine and Dentistry | 11 | 10% |
| Engineering | 9 | 9% |
| Neuroscience | 8 | 8% |
| Other | 22 | 21% |
| Unknown | 20 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 October 2017.
All research outputs
#14,670,690
of 23,935,525 outputs
Outputs from Frontiers in Neuroanatomy
#637
of 1,206 outputs
Outputs of similar age
#135,840
of 266,106 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#20
of 40 outputs
Altmetric has tracked 23,935,525 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,206 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 266,106 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 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 52% of its contemporaries.