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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Substitution Augmentation Modification Redefinition (SAMR) Model: a Critical Review and Suggestions for its Use
|
|---|---|
| Published in |
TechTrends, May 2016
|
| DOI | 10.1007/s11528-016-0091-y |
| Authors |
Erica R. Hamilton, Joshua M. Rosenberg, Mete Akcaoglu |
X Demographics
The data shown below were collected from the profiles of 50 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 | 8 | 16% |
| Sweden | 7 | 14% |
| Germany | 6 | 12% |
| France | 2 | 4% |
| South Africa | 1 | 2% |
| Switzerland | 1 | 2% |
| Georgia | 1 | 2% |
| Netherlands | 1 | 2% |
| Japan | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 19 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 41 | 82% |
| Scientists | 7 | 14% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 913 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 909 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 147 | 16% |
| Student > Ph. D. Student | 119 | 13% |
| Student > Doctoral Student | 105 | 12% |
| Lecturer | 58 | 6% |
| Researcher | 56 | 6% |
| Other | 166 | 18% |
| Unknown | 262 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 220 | 24% |
| Arts and Humanities | 93 | 10% |
| Computer Science | 53 | 6% |
| Business, Management and Accounting | 29 | 3% |
| Linguistics | 29 | 3% |
| Other | 164 | 18% |
| Unknown | 325 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 21 September 2023.
All research outputs
#913,428
of 25,837,817 outputs
Outputs from TechTrends
#14
of 799 outputs
Outputs of similar age
#17,037
of 356,203 outputs
Outputs of similar age from TechTrends
#1
of 34 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 799 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 98% 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 356,203 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 94% 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 97% of its contemporaries.