| Title |
What we can learn from tweets linking to research papers
|
|---|---|
| Published in |
Scientometrics, February 2017
|
| DOI | 10.1007/s11192-017-2279-0 |
| Authors |
Xuan Zhen Liu, Hui Fang |
X Demographics
The data shown below were collected from the profiles of 30 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 17% |
| Canada | 3 | 10% |
| Spain | 3 | 10% |
| Switzerland | 2 | 7% |
| United States | 2 | 7% |
| Pakistan | 1 | 3% |
| Italy | 1 | 3% |
| France | 1 | 3% |
| Germany | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 8 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 63% |
| Scientists | 6 | 20% |
| Science communicators (journalists, bloggers, editors) | 3 | 10% |
| Practitioners (doctors, other healthcare professionals) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| Spain | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 54 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 19% |
| Librarian | 10 | 18% |
| Researcher | 9 | 16% |
| Student > Doctoral Student | 6 | 11% |
| Lecturer | 3 | 5% |
| Other | 12 | 21% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 28% |
| Social Sciences | 15 | 26% |
| Arts and Humanities | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 9 | 16% |
| Unknown | 9 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 24 August 2017.
All research outputs
#1,505,030
of 24,903,209 outputs
Outputs from Scientometrics
#268
of 2,859 outputs
Outputs of similar age
#32,146
of 430,741 outputs
Outputs of similar age from Scientometrics
#16
of 85 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,859 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 90% 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 430,741 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.