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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
neuPrint: An open access tool for EM connectomics
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, July 2022
|
| DOI | 10.3389/fninf.2022.896292 |
| Pubmed ID | |
| Authors |
Stephen M. Plaza, Jody Clements, Tom Dolafi, Lowell Umayam, Nicole N. Neubarth, Louis K. Scheffer, Stuart Berg |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 14% |
| United Kingdom | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 23% |
| Researcher | 4 | 18% |
| Other | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Unspecified | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 36% |
| Agricultural and Biological Sciences | 3 | 14% |
| Unspecified | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Mathematics | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 6 | 27% |
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 23 November 2022.
All research outputs
#7,854,957
of 23,814,046 outputs
Outputs from Frontiers in Neuroinformatics
#374
of 779 outputs
Outputs of similar age
#147,115
of 437,912 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#10
of 27 outputs
Altmetric has tracked 23,814,046 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 779 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 50% 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 437,912 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 27 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 62% of its contemporaries.