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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Does the arXiv lead to higher citations and reduced publisher downloads for mathematics articles?
|
|---|---|
| Published in |
Scientometrics, May 2007
|
| DOI | 10.1007/s11192-007-1661-8 |
| Authors |
Philip M. Davis, Michael J. Fromerth |
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 % |
|---|---|---|
| United States | 1 | 13% |
| Hungary | 1 | 13% |
| Indonesia | 1 | 13% |
| Spain | 1 | 13% |
| Canada | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 3% |
| United Kingdom | 3 | 3% |
| Netherlands | 2 | 2% |
| Croatia | 2 | 2% |
| Brazil | 2 | 2% |
| United States | 2 | 2% |
| Australia | 1 | <1% |
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| Other | 3 | 3% |
| Unknown | 97 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 23% |
| Student > Ph. D. Student | 17 | 14% |
| Librarian | 16 | 14% |
| Student > Master | 13 | 11% |
| Professor | 8 | 7% |
| Other | 28 | 24% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 39 | 33% |
| Computer Science | 30 | 25% |
| Business, Management and Accounting | 5 | 4% |
| Economics, Econometrics and Finance | 5 | 4% |
| Arts and Humanities | 4 | 3% |
| Other | 25 | 21% |
| Unknown | 10 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 27 July 2021.
All research outputs
#1,147,352
of 25,759,158 outputs
Outputs from Scientometrics
#157
of 2,964 outputs
Outputs of similar age
#2,057
of 87,379 outputs
Outputs of similar age from Scientometrics
#1
of 8 outputs
Altmetric has tracked 25,759,158 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 2,964 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 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 87,379 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 97% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them