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| Title |
A roadmap for the computation of persistent homology
|
|---|---|
| Published in |
EPJ Data Science, August 2017
|
| DOI | 10.1140/epjds/s13688-017-0109-5 |
| Pubmed ID | |
| Authors |
Nina Otter, Mason A Porter, Ulrike Tillmann, Peter Grindrod, Heather A Harrington |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 9% |
| Italy | 3 | 5% |
| United Kingdom | 3 | 5% |
| Finland | 2 | 4% |
| Belgium | 1 | 2% |
| Cyprus | 1 | 2% |
| Chile | 1 | 2% |
| Spain | 1 | 2% |
| Japan | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 34 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 30 | 55% |
| Members of the public | 24 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 456 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| United States | 2 | <1% |
| Singapore | 1 | <1% |
| Slovenia | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 449 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 100 | 22% |
| Researcher | 71 | 16% |
| Student > Master | 44 | 10% |
| Student > Bachelor | 30 | 7% |
| Professor | 21 | 5% |
| Other | 81 | 18% |
| Unknown | 109 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 93 | 20% |
| Computer Science | 71 | 16% |
| Physics and Astronomy | 45 | 10% |
| Engineering | 35 | 8% |
| Neuroscience | 18 | 4% |
| Other | 71 | 16% |
| Unknown | 123 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 June 2024.
All research outputs
#843,648
of 26,134,677 outputs
Outputs from EPJ Data Science
#61
of 466 outputs
Outputs of similar age
#16,924
of 332,768 outputs
Outputs of similar age from EPJ Data Science
#6
of 11 outputs
Altmetric has tracked 26,134,677 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. This one has done well, scoring higher than 86% 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 332,768 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 11 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.