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Mendeley readers
Attention Score in Context
| Title |
Gendermetrics.NET: a novel software for analyzing the gender representation in scientific authoring
|
|---|---|
| Published in |
Journal of Occupational Medicine and Toxicology, September 2016
|
| DOI | 10.1186/s12995-016-0133-6 |
| Pubmed ID | |
| Authors |
Michael H. K. Bendels, Dörthe Brüggmann, Norman Schöffel, David A. Groneberg |
| Abstract |
Imbalances in female career promotion are believed to be strong in the field of academic science. A primary parameter to analyze gender inequalities is the gender authoring in scientific publications. Since the presently available data on gender distribution is largely limited to underpowered studies, we here develop a new approach to analyze authors' genders in large bibliometric databases. A SQL-Server based multiuser software suite was developed that serves as an integrative tool for analyzing bibliometric data with a special emphasis on gender and topographical analysis. The presented system allows seamless integration, inspection, modification, evaluation and visualization of bibliometric data. By providing an adaptive and almost fully automatic integration and analysis process, the inter-individual variability of analysis is kept at a low level. Depending on the scientific question, the system enables the user to perform a scientometric analysis including its visualization within a short period of time. In summary, a new software suite for analyzing gender representations in scientific articles was established. The system is suitable for the comparative analysis of scientific structures on the level of continents, countries, cities, city regions, institutions, research fields and journals. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 21% |
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 4 | 10% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 9 | 21% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 26% |
| Social Sciences | 3 | 7% |
| Business, Management and Accounting | 2 | 5% |
| Unspecified | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 September 2016.
All research outputs
#20,342,896
of 22,889,074 outputs
Outputs from Journal of Occupational Medicine and Toxicology
#370
of 393 outputs
Outputs of similar age
#278,677
of 321,166 outputs
Outputs of similar age from Journal of Occupational Medicine and Toxicology
#5
of 5 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 393 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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