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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gender and collaboration patterns in a temporal scientific authorship network
|
|---|---|
| Published in |
Applied Network Science, November 2019
|
| DOI | 10.1007/s41109-019-0214-4 |
| Authors |
Gecia Bravo-Hermsdorff, Valkyrie Felso, Emily Ray, Lee M. Gunderson, Mary E. Helander, Joana Maria, Yael Niv |
X Demographics
The data shown below were collected from the profiles of 26 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 | 8% |
| Spain | 2 | 8% |
| United Kingdom | 2 | 8% |
| Italy | 2 | 8% |
| Mexico | 1 | 4% |
| Canada | 1 | 4% |
| Brazil | 1 | 4% |
| Armenia | 1 | 4% |
| Unknown | 14 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 58% |
| Scientists | 9 | 35% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Researcher | 3 | 9% |
| Student > Master | 3 | 9% |
| Professor | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 15 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 18% |
| Business, Management and Accounting | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Psychology | 2 | 6% |
| Social Sciences | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 18 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 October 2020.
All research outputs
#2,271,827
of 25,653,515 outputs
Outputs from Applied Network Science
#55
of 585 outputs
Outputs of similar age
#53,094
of 479,361 outputs
Outputs of similar age from Applied Network Science
#5
of 47 outputs
Altmetric has tracked 25,653,515 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done particularly well, scoring higher than 90% 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 479,361 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.