| Title |
A Taxonomy of Errors for Information Systems
|
|---|---|
| Published in |
Minds and Machines, March 2013
|
| DOI | 10.1007/s11023-013-9307-5 |
| Authors |
Giuseppe Primiero |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Italy | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Korea, Republic of | 1 | 4% |
| Unknown | 21 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 26% |
| Researcher | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Other | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 17% |
| Philosophy | 2 | 9% |
| Social Sciences | 2 | 9% |
| Business, Management and Accounting | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 6 | 26% |
| Unknown | 7 | 30% |
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 27 February 2019.
All research outputs
#16,223,992
of 23,906,448 outputs
Outputs from Minds and Machines
#236
of 323 outputs
Outputs of similar age
#125,983
of 197,589 outputs
Outputs of similar age from Minds and Machines
#3
of 4 outputs
Altmetric has tracked 23,906,448 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 323 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 16th percentile – i.e., 16% 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 197,589 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.