| Title |
Validating online reference managers for scholarly impact measurement
|
|---|---|
| Published in |
Scientometrics, December 2011
|
| DOI | 10.1007/s11192-011-0580-x |
| Authors |
Xuemei Li, Mike Thelwall, Dean Giustini |
X Demographics
The data shown below were collected from the profiles of 23 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 | 3 | 13% |
| Canada | 3 | 13% |
| United States | 2 | 9% |
| Netherlands | 1 | 4% |
| Ireland | 1 | 4% |
| Singapore | 1 | 4% |
| Spain | 1 | 4% |
| Japan | 1 | 4% |
| Unknown | 10 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 65% |
| Science communicators (journalists, bloggers, editors) | 5 | 22% |
| Scientists | 3 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 431 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | 5% |
| Spain | 19 | 4% |
| United Kingdom | 14 | 3% |
| Germany | 7 | 2% |
| Canada | 6 | 1% |
| Netherlands | 5 | 1% |
| Italy | 4 | <1% |
| Switzerland | 4 | <1% |
| Austria | 4 | <1% |
| Other | 48 | 11% |
| Unknown | 299 | 69% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 114 | 26% |
| Student > Master | 48 | 11% |
| Researcher | 46 | 11% |
| Student > Ph. D. Student | 42 | 10% |
| Student > Bachelor | 31 | 7% |
| Other | 117 | 27% |
| Unknown | 33 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 149 | 35% |
| Computer Science | 112 | 26% |
| Arts and Humanities | 27 | 6% |
| Medicine and Dentistry | 20 | 5% |
| Agricultural and Biological Sciences | 20 | 5% |
| Other | 56 | 13% |
| Unknown | 47 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 68. 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 May 2019.
All research outputs
#617,173
of 25,016,456 outputs
Outputs from Scientometrics
#70
of 2,872 outputs
Outputs of similar age
#3,397
of 254,610 outputs
Outputs of similar age from Scientometrics
#1
of 23 outputs
Altmetric has tracked 25,016,456 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 2,872 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 254,610 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 98% of its contemporaries.
We're also able to compare this research output to 23 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 99% of its contemporaries.