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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic segmentation of deep intracerebral electrodes in computed tomography scans
|
|---|---|
| Published in |
BMC Bioinformatics, March 2015
|
| DOI | 10.1186/s12859-015-0511-6 |
| Pubmed ID | |
| Authors |
Gabriele Arnulfo, Massimo Narizzano, Francesco Cardinale, Marco Massimo Fato, Jaakko Matias Palva |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | <1% |
| France | 1 | <1% |
| Argentina | 1 | <1% |
| Unknown | 98 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 25% |
| Student > Master | 14 | 14% |
| Student > Ph. D. Student | 11 | 11% |
| Unspecified | 9 | 9% |
| Other | 9 | 9% |
| Other | 16 | 16% |
| Unknown | 17 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 25% |
| Neuroscience | 20 | 20% |
| Unspecified | 9 | 9% |
| Computer Science | 8 | 8% |
| Engineering | 8 | 8% |
| Other | 7 | 7% |
| Unknown | 24 | 24% |
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 07 November 2019.
All research outputs
#8,577,479
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#3,144
of 7,793 outputs
Outputs of similar age
#95,429
of 281,181 outputs
Outputs of similar age from BMC Bioinformatics
#63
of 137 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 7,793 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 57% 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 281,181 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 64% of its contemporaries.
We're also able to compare this research output to 137 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.