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X Demographics
Mendeley readers
Attention Score in Context
| Title |
WGCNA: an R package for weighted correlation network analysis
|
|---|---|
| Published in |
BMC Bioinformatics, December 2008
|
| DOI | 10.1186/1471-2105-9-559 |
| Pubmed ID | |
| Authors |
Peter Langfelder, Steve Horvath |
X Demographics
The data shown below were collected from the profiles of 13 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 | 2 | 15% |
| Sudan | 1 | 8% |
| Germany | 1 | 8% |
| Netherlands | 1 | 8% |
| Canada | 1 | 8% |
| Tanzania, United Republic of | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 4 | 31% |
Mendeley readers
The data shown below were compiled from readership statistics for 7,695 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 92 | 1% |
| United Kingdom | 20 | <1% |
| Germany | 14 | <1% |
| Brazil | 13 | <1% |
| France | 11 | <1% |
| Netherlands | 10 | <1% |
| Italy | 9 | <1% |
| Spain | 8 | <1% |
| Japan | 7 | <1% |
| Other | 63 | <1% |
| Unknown | 7448 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1866 | 24% |
| Researcher | 1381 | 18% |
| Student > Master | 816 | 11% |
| Student > Bachelor | 585 | 8% |
| Student > Doctoral Student | 404 | 5% |
| Other | 1025 | 13% |
| Unknown | 1618 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2262 | 29% |
| Biochemistry, Genetics and Molecular Biology | 1623 | 21% |
| Medicine and Dentistry | 403 | 5% |
| Neuroscience | 287 | 4% |
| Computer Science | 286 | 4% |
| Other | 921 | 12% |
| Unknown | 1913 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 93. 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 04 January 2024.
All research outputs
#464,482
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#16
of 7,793 outputs
Outputs of similar age
#1,353
of 188,842 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 75 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
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 done particularly well, scoring higher than 99% 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 188,842 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 98% of its contemporaries.
We're also able to compare this research output to 75 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 98% of its contemporaries.