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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Toward a methodology for case modeling
|
|---|---|
| Published in |
Software and Systems Modeling, November 2019
|
| DOI | 10.1007/s10270-019-00766-5 |
| Authors |
Marcin Hewelt, Luise Pufahl, Sankalita Mandal, Felix Wolff, Mathias Weske |
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 % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 16% |
| Student > Bachelor | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 11 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 42% |
| Business, Management and Accounting | 5 | 16% |
| Economics, Econometrics and Finance | 1 | 3% |
| Unknown | 12 | 39% |
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 09 July 2020.
All research outputs
#17,628,251
of 25,838,141 outputs
Outputs from Software and Systems Modeling
#402
of 773 outputs
Outputs of similar age
#244,961
of 383,392 outputs
Outputs of similar age from Software and Systems Modeling
#8
of 13 outputs
Altmetric has tracked 25,838,141 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 773 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 39th percentile – i.e., 39% 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 383,392 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.