| Title |
Grand challenges in altmetrics: heterogeneity, data quality and dependencies
|
|---|---|
| Published in |
Scientometrics, March 2016
|
| DOI | 10.1007/s11192-016-1910-9 |
| Authors |
Stefanie Haustein |
X Demographics
The data shown below were collected from the profiles of 42 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 | 6 | 14% |
| Canada | 5 | 12% |
| United States | 4 | 10% |
| Japan | 2 | 5% |
| Australia | 2 | 5% |
| Spain | 2 | 5% |
| Netherlands | 2 | 5% |
| Austria | 2 | 5% |
| Germany | 1 | 2% |
| Other | 6 | 14% |
| Unknown | 10 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 64% |
| Scientists | 11 | 26% |
| Science communicators (journalists, bloggers, editors) | 4 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 5 | 2% |
| Spain | 5 | 2% |
| South Africa | 3 | <1% |
| United Kingdom | 2 | <1% |
| Brazil | 2 | <1% |
| Malaysia | 1 | <1% |
| Bulgaria | 1 | <1% |
| Germany | 1 | <1% |
| Austria | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 279 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 48 | 16% |
| Student > Master | 41 | 13% |
| Student > Ph. D. Student | 40 | 13% |
| Researcher | 28 | 9% |
| Other | 26 | 9% |
| Other | 64 | 21% |
| Unknown | 58 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 84 | 28% |
| Computer Science | 58 | 19% |
| Business, Management and Accounting | 18 | 6% |
| Medicine and Dentistry | 14 | 5% |
| Arts and Humanities | 12 | 4% |
| Other | 52 | 17% |
| Unknown | 67 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 65. 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 04 November 2022.
All research outputs
#632,783
of 24,901,761 outputs
Outputs from Scientometrics
#72
of 2,859 outputs
Outputs of similar age
#11,396
of 305,726 outputs
Outputs of similar age from Scientometrics
#2
of 73 outputs
Altmetric has tracked 24,901,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% 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 97% 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 305,726 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 96% of its contemporaries.
We're also able to compare this research output to 73 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 98% of its contemporaries.