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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches
|
|---|---|
| Published in |
Journal on Data Semantics, April 2014
|
| DOI | 10.1007/s13740-014-0038-4 |
| Authors |
Claudio Di Ciccio, Andrea Marrella, Alessandro Russo |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| Austria | 2 | <1% |
| Spain | 2 | <1% |
| Ghana | 1 | <1% |
| Cameroon | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Australia | 1 | <1% |
| Belgium | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 202 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 43 | 20% |
| Student > Ph. D. Student | 40 | 19% |
| Student > Bachelor | 28 | 13% |
| Student > Doctoral Student | 12 | 6% |
| Researcher | 12 | 6% |
| Other | 30 | 14% |
| Unknown | 49 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 81 | 38% |
| Engineering | 27 | 13% |
| Business, Management and Accounting | 23 | 11% |
| Economics, Econometrics and Finance | 7 | 3% |
| Arts and Humanities | 3 | 1% |
| Other | 13 | 6% |
| Unknown | 60 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 August 2014.
All research outputs
#13,407,734
of 22,753,345 outputs
Outputs from Journal on Data Semantics
#8
of 24 outputs
Outputs of similar age
#112,508
of 228,038 outputs
Outputs of similar age from Journal on Data Semantics
#1
of 1 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 16 of them.
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 228,038 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them