| Title |
Functional and transcriptional connectivity of communities in breast cancer co-expression networks
|
|---|---|
| Published in |
Applied Network Science, May 2019
|
| DOI | 10.1007/s41109-019-0129-0 |
| Authors |
Guillermo de Anda-Jáuregui, Sergio Antonio Alcalá-Corona, Jesús Espinal-Enríquez, Enrique Hernández-Lemus |
X Demographics
The data shown below were collected from the profiles of 52 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 8 | 15% |
| Spain | 8 | 15% |
| United States | 6 | 12% |
| United Kingdom | 2 | 4% |
| Norway | 1 | 2% |
| Italy | 1 | 2% |
| Canada | 1 | 2% |
| Sweden | 1 | 2% |
| Chile | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 22 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 26 | 50% |
| Members of the public | 25 | 48% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 21% |
| Researcher | 6 | 21% |
| Student > Ph. D. Student | 5 | 18% |
| Professor | 2 | 7% |
| Other | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 21% |
| Computer Science | 5 | 18% |
| Agricultural and Biological Sciences | 4 | 14% |
| Engineering | 2 | 7% |
| Business, Management and Accounting | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 6 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 30 October 2022.
All research outputs
#1,046,339
of 25,128,618 outputs
Outputs from Applied Network Science
#16
of 578 outputs
Outputs of similar age
#23,182
of 357,205 outputs
Outputs of similar age from Applied Network Science
#2
of 32 outputs
Altmetric has tracked 25,128,618 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 578 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done particularly well, scoring higher than 97% 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 357,205 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 93% of its contemporaries.
We're also able to compare this research output to 32 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 96% of its contemporaries.