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X Demographics
Mendeley readers
Attention Score in Context
| Title |
powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions
|
|---|---|
| Published in |
PLOS ONE, January 2014
|
| DOI | 10.1371/journal.pone.0085777 |
| Pubmed ID | |
| Authors |
Jeff Alstott, Ed Bullmore, Dietmar Plenz |
| Abstract |
Power laws are theoretically interesting probability distributions that are also frequently used to describe empirical data. In recent years, effective statistical methods for fitting power laws have been developed, but appropriate use of these techniques requires significant programming and statistical insight. In order to greatly decrease the barriers to using good statistical methods for fitting power law distributions, we developed the powerlaw Python package. This software package provides easy commands for basic fitting and statistical analysis of distributions. Notably, it also seeks to support a variety of user needs by being exhaustive in the options available to the user. The source code is publicly available and easily extensible. |
X Demographics
The data shown below were collected from the profiles of 34 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 | 10 | 29% |
| United Kingdom | 3 | 9% |
| France | 2 | 6% |
| Japan | 2 | 6% |
| Switzerland | 2 | 6% |
| Chile | 1 | 3% |
| Ireland | 1 | 3% |
| Argentina | 1 | 3% |
| Spain | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 53% |
| Scientists | 16 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 709 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | <1% |
| United Kingdom | 6 | <1% |
| Brazil | 4 | <1% |
| Switzerland | 2 | <1% |
| Spain | 2 | <1% |
| Germany | 2 | <1% |
| France | 1 | <1% |
| Norway | 1 | <1% |
| Australia | 1 | <1% |
| Other | 12 | 2% |
| Unknown | 671 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 210 | 30% |
| Researcher | 104 | 15% |
| Student > Master | 92 | 13% |
| Student > Bachelor | 52 | 7% |
| Other | 36 | 5% |
| Other | 118 | 17% |
| Unknown | 97 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 131 | 18% |
| Physics and Astronomy | 112 | 16% |
| Engineering | 54 | 8% |
| Agricultural and Biological Sciences | 35 | 5% |
| Social Sciences | 32 | 5% |
| Other | 204 | 29% |
| Unknown | 141 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 09 March 2022.
All research outputs
#1,013,700
of 25,670,640 outputs
Outputs from PLOS ONE
#13,019
of 223,929 outputs
Outputs of similar age
#10,945
of 324,928 outputs
Outputs of similar age from PLOS ONE
#389
of 5,646 outputs
Altmetric has tracked 25,670,640 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 223,929 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 94% 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 324,928 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 96% of its contemporaries.
We're also able to compare this research output to 5,646 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.