| Title |
What makes an article influential? Predicting impact in social and personality psychology
|
|---|---|
| Published in |
Scientometrics, May 2008
|
| DOI | 10.1007/s11192-007-1892-8 |
| Authors |
Nick Haslam, Lauren Ban, Leah Kaufmann, Stephen Loughnan, Kim Peters, Jennifer Whelan, Sam Wilson |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| United States | 2 | 25% |
| Hong Kong | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| United Kingdom | 5 | 3% |
| Denmark | 4 | 2% |
| Spain | 2 | 1% |
| South Africa | 1 | <1% |
| Sweden | 1 | <1% |
| Russia | 1 | <1% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 140 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 29% |
| Researcher | 25 | 15% |
| Librarian | 12 | 7% |
| Professor > Associate Professor | 11 | 7% |
| Student > Doctoral Student | 10 | 6% |
| Other | 39 | 24% |
| Unknown | 18 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 38 | 23% |
| Psychology | 19 | 12% |
| Computer Science | 18 | 11% |
| Business, Management and Accounting | 15 | 9% |
| Arts and Humanities | 10 | 6% |
| Other | 32 | 20% |
| Unknown | 31 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 20 December 2023.
All research outputs
#3,722,734
of 26,017,215 outputs
Outputs from Scientometrics
#729
of 2,975 outputs
Outputs of similar age
#11,601
of 100,496 outputs
Outputs of similar age from Scientometrics
#1
of 11 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,975 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 75% 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 100,496 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 86% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.