| Title |
Computational Thinking for All: Pedagogical Approaches to Embedding 21st Century Problem Solving in K-12 Classrooms
|
|---|---|
| Published in |
TechTrends, May 2016
|
| DOI | 10.1007/s11528-016-0087-7 |
| Authors |
Aman Yadav, Hai Hong, Chris Stephenson |
X Demographics
The data shown below were collected from the profiles of 22 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 | 6 | 27% |
| Ireland | 4 | 18% |
| United Kingdom | 2 | 9% |
| Netherlands | 1 | 5% |
| Finland | 1 | 5% |
| Georgia | 1 | 5% |
| Unknown | 7 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 64% |
| Scientists | 6 | 27% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 777 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Austria | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 774 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 120 | 15% |
| Student > Ph. D. Student | 110 | 14% |
| Lecturer | 61 | 8% |
| Student > Doctoral Student | 52 | 7% |
| Researcher | 43 | 6% |
| Other | 151 | 19% |
| Unknown | 240 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 186 | 24% |
| Computer Science | 140 | 18% |
| Mathematics | 30 | 4% |
| Arts and Humanities | 30 | 4% |
| Psychology | 20 | 3% |
| Other | 103 | 13% |
| Unknown | 268 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 25 June 2020.
All research outputs
#2,029,544
of 25,263,619 outputs
Outputs from TechTrends
#49
of 789 outputs
Outputs of similar age
#35,225
of 346,716 outputs
Outputs of similar age from TechTrends
#3
of 34 outputs
Altmetric has tracked 25,263,619 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 789 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 93% 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 346,716 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 89% of its contemporaries.
We're also able to compare this research output to 34 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 94% of its contemporaries.