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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A distance-field based automatic neuron tracing method
|
|---|---|
| Published in |
BMC Bioinformatics, March 2013
|
| DOI | 10.1186/1471-2105-14-93 |
| Pubmed ID | |
| Authors |
Jinzhu Yang, Paloma T Gonzalez-Bellido, Hanchuan Peng |
| Abstract |
Automatic 3D digital reconstruction (tracing) of neurons embedded in noisy microscopic images is challenging, especially when the cell morphology is complex. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 14% |
| Norway | 1 | 14% |
| United Kingdom | 1 | 14% |
| Spain | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Greece | 1 | 2% |
| Unknown | 55 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 32% |
| Researcher | 9 | 16% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 5 | 9% |
| Student > Postgraduate | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 23% |
| Computer Science | 12 | 21% |
| Agricultural and Biological Sciences | 10 | 18% |
| Neuroscience | 7 | 12% |
| Immunology and Microbiology | 1 | 2% |
| Other | 6 | 11% |
| Unknown | 8 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 March 2013.
All research outputs
#13,364,855
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#3,690
of 7,454 outputs
Outputs of similar age
#102,298
of 197,846 outputs
Outputs of similar age from BMC Bioinformatics
#74
of 143 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 48th percentile – i.e., 48% 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 197,846 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 143 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.