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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detecting misinformation in online social networks using cognitive psychology
|
|---|---|
| Published in |
Human-centric Computing and Information Sciences, September 2014
|
| DOI | 10.1186/s13673-014-0014-x |
| Authors |
K P Krishna Kumar, G Geethakumari |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 5 | 38% |
| Canada | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 318 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Cyprus | 1 | <1% |
| Denmark | 1 | <1% |
| Russia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 313 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 19% |
| Student > Master | 58 | 18% |
| Student > Bachelor | 37 | 12% |
| Researcher | 28 | 9% |
| Student > Doctoral Student | 14 | 4% |
| Other | 45 | 14% |
| Unknown | 76 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 94 | 30% |
| Social Sciences | 45 | 14% |
| Psychology | 33 | 10% |
| Engineering | 14 | 4% |
| Arts and Humanities | 9 | 3% |
| Other | 38 | 12% |
| Unknown | 85 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 13 September 2022.
All research outputs
#2,650,053
of 25,059,640 outputs
Outputs from Human-centric Computing and Information Sciences
#10
of 80 outputs
Outputs of similar age
#28,470
of 258,415 outputs
Outputs of similar age from Human-centric Computing and Information Sciences
#1
of 2 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 80 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 88% 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 258,415 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 2 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