| Title |
Measuring the invisible: Development and multi‐industry validation of the Gender Bias Scale for Women Leaders
|
|---|---|
| Published in |
Human Resource Development Quarterly, April 2020
|
| DOI | 10.1002/hrdq.21389 |
| Authors |
Amy B. Diehl, Amber L. Stephenson, Leanne M. Dzubinski, David C. Wang |
X Demographics
The data shown below were collected from the profiles of 369 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 | 124 | 34% |
| Canada | 27 | 7% |
| United Kingdom | 16 | 4% |
| Spain | 14 | 4% |
| France | 6 | 2% |
| Australia | 5 | 1% |
| Netherlands | 4 | 1% |
| Georgia | 3 | <1% |
| Switzerland | 3 | <1% |
| Other | 34 | 9% |
| Unknown | 133 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 240 | 65% |
| Scientists | 96 | 26% |
| Practitioners (doctors, other healthcare professionals) | 23 | 6% |
| Science communicators (journalists, bloggers, editors) | 9 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 147 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 14% |
| Student > Master | 15 | 10% |
| Student > Doctoral Student | 13 | 9% |
| Student > Bachelor | 9 | 6% |
| Professor | 8 | 5% |
| Other | 21 | 14% |
| Unknown | 61 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 24 | 16% |
| Social Sciences | 19 | 13% |
| Psychology | 12 | 8% |
| Medicine and Dentistry | 8 | 5% |
| Arts and Humanities | 3 | 2% |
| Other | 19 | 13% |
| Unknown | 62 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 511. 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 02 September 2022.
All research outputs
#50,858
of 25,761,363 outputs
Outputs from Human Resource Development Quarterly
#1
of 302 outputs
Outputs of similar age
#1,913
of 398,203 outputs
Outputs of similar age from Human Resource Development Quarterly
#1
of 3 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 302 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. 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 398,203 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 99% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them