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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcription maximized; expense minimized? Crowdsourcing and editing The Collected Works of Jeremy Bentham*
|
|---|---|
| Published in |
Literary & Linguistic Computing, March 2012
|
| DOI | 10.1093/llc/fqs004 |
| Authors |
Tim Causer, Justin Tonra, Valerie Wallace |
X Demographics
The data shown below were collected from the profiles of 18 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 States | 4 | 22% |
| Canada | 3 | 17% |
| Australia | 3 | 17% |
| United Kingdom | 2 | 11% |
| Netherlands | 1 | 6% |
| Unknown | 5 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 78% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Scientists | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| United States | 3 | 4% |
| Chile | 1 | 1% |
| Spain | 1 | 1% |
| Netherlands | 1 | 1% |
| Unknown | 60 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 17% |
| Student > Master | 11 | 16% |
| Student > Ph. D. Student | 10 | 14% |
| Librarian | 7 | 10% |
| Student > Bachelor | 7 | 10% |
| Other | 16 | 23% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Arts and Humanities | 17 | 25% |
| Computer Science | 14 | 20% |
| Social Sciences | 10 | 14% |
| Business, Management and Accounting | 4 | 6% |
| Environmental Science | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 8 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 09 June 2022.
All research outputs
#1,267,766
of 25,377,790 outputs
Outputs from Literary & Linguistic Computing
#37
of 685 outputs
Outputs of similar age
#6,491
of 172,585 outputs
Outputs of similar age from Literary & Linguistic Computing
#2
of 11 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 685 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done particularly well, scoring higher than 94% 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 172,585 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 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.