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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Soft Skills: An Important Asset Acquired from Organizing Regional Student Group Activities
|
|---|---|
| Published in |
PLoS Computational Biology, July 2014
|
| DOI | 10.1371/journal.pcbi.1003708 |
| Pubmed ID | |
| Authors |
Jeroen de Ridder, Pieter Meysman, Olugbenga Oluwagbemi, Thomas Abeel |
| Abstract |
Contributing to a student organization, such as the International Society for Computational Biology Student Council (ISCB-SC) and its Regional Student Group (RSG) program, takes time and energy. Both are scarce commodities, especially when you are trying to find your place in the world of computational biology as a graduate student. It comes as no surprise that organizing ISCB-SC-related activities sometimes interferes with day-to-day research and shakes up your priority list. However, we unanimously agree that the rewards, both in the short as well as the long term, make the time spent on these extracurricular activities more than worth it. In this article, we will explain what makes this so worthwhile: soft skills. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 25% |
| Argentina | 1 | 25% |
| Italy | 1 | 25% |
| India | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 2 | 3% |
| Netherlands | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 72 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 17% |
| Researcher | 10 | 13% |
| Student > Bachelor | 9 | 12% |
| Lecturer | 4 | 5% |
| Student > Master | 4 | 5% |
| Other | 17 | 22% |
| Unknown | 19 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 12 | 16% |
| Agricultural and Biological Sciences | 10 | 13% |
| Nursing and Health Professions | 4 | 5% |
| Psychology | 4 | 5% |
| Computer Science | 3 | 4% |
| Other | 24 | 32% |
| Unknown | 19 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 February 2017.
All research outputs
#14,473,828
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#6,087
of 8,960 outputs
Outputs of similar age
#115,921
of 242,253 outputs
Outputs of similar age from PLoS Computational Biology
#88
of 162 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 242,253 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.