| Title |
Aligning learning outcomes and assessment methods: a web tool for e-learning courses
|
|---|---|
| Published in |
International Journal of Educational Technology in Higher Education, March 2016
|
| DOI | 10.1186/s41239-016-0016-z |
| Authors |
Inés Gil-Jaurena, Sandra Kucina Softic |
X Demographics
The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 10 | 29% |
| United Kingdom | 2 | 6% |
| France | 2 | 6% |
| Indonesia | 1 | 3% |
| Fiji | 1 | 3% |
| Ireland | 1 | 3% |
| Australia | 1 | 3% |
| New Zealand | 1 | 3% |
| Colombia | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 12 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 68% |
| Scientists | 10 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Colombia | 1 | <1% |
| Finland | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| Philippines | 1 | <1% |
| Unknown | 163 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 13% |
| Student > Ph. D. Student | 19 | 11% |
| Lecturer | 18 | 11% |
| Student > Bachelor | 15 | 9% |
| Other | 9 | 5% |
| Other | 45 | 26% |
| Unknown | 42 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 44 | 26% |
| Computer Science | 21 | 12% |
| Business, Management and Accounting | 13 | 8% |
| Engineering | 9 | 5% |
| Economics, Econometrics and Finance | 4 | 2% |
| Other | 33 | 19% |
| Unknown | 47 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 January 2022.
All research outputs
#1,317,584
of 23,872,700 outputs
Outputs from International Journal of Educational Technology in Higher Education
#78
of 390 outputs
Outputs of similar age
#23,311
of 303,027 outputs
Outputs of similar age from International Journal of Educational Technology in Higher Education
#3
of 19 outputs
Altmetric has tracked 23,872,700 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 390 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one has done well, scoring higher than 80% 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 303,027 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 92% of its contemporaries.
We're also able to compare this research output to 19 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.