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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The "impact factor" revisited
|
|---|---|
| Published in |
Biomedical Digital Libraries, December 2005
|
| DOI | 10.1186/1742-5581-2-7 |
| Pubmed ID | |
| Authors |
Peng Dong, Marie Loh, Adrian Mondry |
| Abstract |
The number of scientific journals has become so large that individuals, institutions and institutional libraries cannot completely store their physical content. In order to prioritize the choice of quality information sources, librarians and scientists are in need of reliable decision aids. The "impact factor" (IF) is the most commonly used assessment aid for deciding which journals should receive a scholarly submission or attention from research readership. It is also an often misunderstood tool. This narrative review explains how the IF is calculated, how bias is introduced into the calculation, which questions the IF can or cannot answer, and how different professional groups can benefit from IF use. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 8 | 3% |
| Germany | 7 | 2% |
| Sweden | 5 | 2% |
| United Kingdom | 3 | 1% |
| Brazil | 3 | 1% |
| Colombia | 2 | <1% |
| Malaysia | 2 | <1% |
| Portugal | 2 | <1% |
| France | 2 | <1% |
| Other | 13 | 5% |
| Unknown | 237 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 57 | 20% |
| Student > Ph. D. Student | 38 | 13% |
| Professor | 37 | 13% |
| Student > Master | 31 | 11% |
| Professor > Associate Professor | 23 | 8% |
| Other | 74 | 26% |
| Unknown | 24 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 22% |
| Medicine and Dentistry | 47 | 17% |
| Social Sciences | 31 | 11% |
| Computer Science | 20 | 7% |
| Psychology | 10 | 4% |
| Other | 78 | 27% |
| Unknown | 35 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 08 December 2016.
All research outputs
#2,173,135
of 22,651,245 outputs
Outputs from Biomedical Digital Libraries
#2
of 12 outputs
Outputs of similar age
#6,693
of 146,248 outputs
Outputs of similar age from Biomedical Digital Libraries
#1
of 1 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one scored the same or higher as 10 of them.
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 146,248 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 95% of its contemporaries.
We're also able to compare this research output to 1 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