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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Is searching full text more effective than searching abstracts?
|
|---|---|
| Published in |
BMC Bioinformatics, February 2009
|
| DOI | 10.1186/1471-2105-10-46 |
| Pubmed ID | |
| Authors |
Jimmy Lin |
X Demographics
The data shown below were collected from the profiles of 9 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 | 5 | 56% |
| United States | 2 | 22% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 2% |
| United States | 4 | 2% |
| Korea, Republic of | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Mexico | 1 | <1% |
| Netherlands | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 153 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 21% |
| Student > Ph. D. Student | 26 | 15% |
| Student > Master | 26 | 15% |
| Other | 13 | 8% |
| Student > Bachelor | 11 | 7% |
| Other | 35 | 21% |
| Unknown | 23 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 59 | 35% |
| Agricultural and Biological Sciences | 25 | 15% |
| Medicine and Dentistry | 13 | 8% |
| Social Sciences | 12 | 7% |
| Business, Management and Accounting | 6 | 4% |
| Other | 25 | 15% |
| Unknown | 29 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 25 March 2020.
All research outputs
#6,771,102
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#2,307
of 7,793 outputs
Outputs of similar age
#43,402
of 190,174 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 60 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 70% 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 190,174 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.